extract: 2024-06-22-futardio-proposal-thailanddao-event-promotion-to-boost-deans-list-dao-engageme

Pentagon-Agent: Ganymede <F99EBFA6-547B-4096-BEEA-1D59C3E4028A>

domains/internet-finance/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

@@ -59,6 +59,12 @@ Autocrat is MetaDAO's core governance program on Solana -- the on-chain implemen
 
 Sanctum's Wonder proposal (2frDGSg1frwBeh3bc6R7XKR2wckyMTt6pGXLGLPgoota, created 2025-03-28, completed 2025-03-31) represents the first major test of Autocrat futarchy for strategic product direction rather than treasury operations. The team explicitly stated: 'Even though this is not a proposal that involves community CLOUD funds, this is going to be the largest product decision ever made by the Sanctum team, so we want to put it up to governance vote.' The proposal to build a consumer mobile app (Wonder) with automatic yield optimization, gasless transfers, and curated project participation failed despite team conviction backed by market comparables (Phantom $3B valuation, Jupiter $1.7B market cap, MetaMask $320M swap fees). This demonstrates Autocrat's capacity to govern strategic pivots beyond operational decisions, though the failure raises questions about whether futarchy markets discount consumer product risk or disagreed with the user segmentation thesis.
 
+
+### Additional Evidence (extend)
+*Source: [[2024-06-22-futardio-proposal-thailanddao-event-promotion-to-boost-deans-list-dao-engageme]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
+
+Dean's List DAO proposal (DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM) used Autocrat v0.3 with 3-day trading period and 3% TWAP threshold. Proposal completed 2024-06-25 with failed status. This provides concrete implementation data: small DAOs (FDV $123K) can deploy Autocrat with custom TWAP thresholds (3% vs. typical higher thresholds), but low absolute dollar amounts may be insufficient to attract trader participation even when percentage returns are favorable.
+
 ---
 
 Relevant Notes:

domains/internet-finance/MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md

@@ -29,6 +29,12 @@ Optimism's futarchy experiment achieved 5,898 total trades from 430 active forec
 
 FitByte ICO attracted only $23 in total commitments against a $500,000 target before entering refund status. This represents an extreme case of limited participation in a futarchy-governed decision. The conditional markets had essentially zero liquidity, making price discovery impossible and demonstrating that futarchy mechanisms require minimum participation thresholds to function. When a proposal is clearly weak (no technical details, no partnerships, ambitious claims without evidence), the market doesn't trade—it simply doesn't participate, leading to immediate refund rather than price-based rejection.
 
+
+### Additional Evidence (extend)
+*Source: [[2024-06-22-futardio-proposal-thailanddao-event-promotion-to-boost-deans-list-dao-engageme]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
+
+Dean's List ThailandDAO proposal (DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM) failed on 2024-06-25 despite projecting 16x FDV increase with only 3% TWAP threshold required. The proposal explicitly calculated that $73.95 per-participant value creation across 50 participants would meet the threshold, yet failed to attract sufficient trading volume. This extends the 'limited trading volume' pattern from uncontested decisions to contested-but-favorable proposals, suggesting the participation problem is broader than initial observations indicated.
+
 ---
 
 Relevant Notes:

domains/internet-finance/aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md

@@ -0,0 +1,37 @@
+---
+type: claim
+domain: internet-finance
+description: "AIMD algorithm achieves provably fair and stable distributed resource allocation using only local congestion feedback"
+confidence: proven
+source: "Corless, King, Shorten, Wirth (SIAM 2016) - AIMD Dynamics and Distributed Resource Allocation"
+created: 2026-03-11
+secondary_domains: [mechanisms, collective-intelligence]
+---
+
+# AIMD converges to fair resource allocation without global coordination through local congestion signals
+
+Additive Increase Multiplicative Decrease (AIMD) is a distributed resource allocation algorithm that provably converges to fair and stable resource sharing among competing agents without requiring centralized control or global information. The algorithm operates through two simple rules: when no congestion is detected, increase resource usage additively (rate += α); when congestion is detected, decrease resource usage multiplicatively (rate *= β, where 0 < β < 1).
+
+The SIAM monograph by Corless et al. demonstrates that AIMD is mathematically guaranteed to converge to equal sharing of available capacity regardless of the number of agents or parameter values. Each agent only needs to observe local congestion signals—no knowledge of other agents, total capacity, or system-wide state is required. This makes AIMD the most widely deployed distributed resource allocation mechanism, originally developed for TCP congestion control and now applicable to smart grid energy allocation, distributed computing, and other domains where multiple agents compete for shared resources.
+
+The key insight is that AIMD doesn't require predicting load, modeling arrivals, or solving optimization problems. It reacts to observed system state through simple local rules and is guaranteed to find the fair allocation through the dynamics of the algorithm itself. The multiplicative decrease creates faster convergence than purely additive approaches, while the additive increase ensures fairness rather than proportional allocation.
+
+## Evidence
+
+- Corless, King, Shorten, Wirth (2016) provide mathematical proofs of convergence and fairness properties
+- AIMD is the foundation of TCP congestion control, the most widely deployed distributed algorithm in existence
+- The algorithm works across heterogeneous domains: internet bandwidth, energy grids, computing resources
+- Convergence is guaranteed regardless of number of competing agents or their parameter choices
+
+---
+
+Relevant Notes:
+- [[coordination mechanisms]]
+- [[optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles]]
+- [[collective intelligence requires diversity as a structural precondition not a moral preference]]
+- [[designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm]]
+
+Topics:
+- domains/internet-finance/_map
+- core/mechanisms/_map
+- foundations/collective-intelligence/_map

domains/internet-finance/aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md

@@ -0,0 +1,46 @@
+---
+type: claim
+domain: internet-finance
+description: "AIMD provides principled autoscaling for systems with expensive compute and variable load by reacting to queue state rather than forecasting demand"
+confidence: experimental
+source: "Corless et al. (SIAM 2016) applied to Teleo pipeline architecture"
+created: 2026-03-11
+secondary_domains: [mechanisms, critical-systems]
+---
+
+# AIMD scaling solves variable-load expensive-compute coordination without prediction
+
+For systems with expensive computational operations and highly variable load—such as AI evaluation pipelines where extraction is cheap but evaluation is costly—AIMD provides a principled scaling algorithm that doesn't require demand forecasting or optimization modeling. The algorithm operates by observing queue state: when the evaluation queue is shrinking (no congestion), increase extraction workers by 1 per cycle; when the queue is growing (congestion detected), halve extraction workers.
+
+This approach is particularly well-suited to scenarios where:
+1. Downstream operations (evaluation) are significantly more expensive than upstream operations (extraction)
+2. Load is unpredictable and varies substantially over time
+3. The cost of overprovisioning is high (wasted expensive compute)
+4. The cost of underprovisioning is manageable (slightly longer queue wait times)
+
+The AIMD dynamics guarantee convergence to a stable operating point where extraction rate matches evaluation capacity, without requiring any prediction of future load, modeling of arrival patterns, or solution of optimization problems. The system self-regulates through observed congestion signals (queue growth/shrinkage) and simple local rules.
+
+The multiplicative decrease (halving workers on congestion) provides rapid response to capacity constraints, while the additive increase (adding one worker when uncongested) provides gradual scaling that avoids overshooting. This asymmetry is critical: it's better to scale down too aggressively and scale up conservatively than vice versa when downstream compute is expensive.
+
+## Evidence
+
+- Corless et al. (2016) prove AIMD convergence properties hold for general resource allocation problems beyond network bandwidth
+- The Teleo pipeline architecture exhibits the exact characteristics AIMD is designed for: cheap extraction, expensive evaluation, variable load
+- AIMD's "no prediction required" property eliminates the complexity and fragility of load forecasting models
+- The algorithm's proven stability guarantees mean it won't oscillate or diverge regardless of load patterns
+
+## Challenges
+
+This is an application of proven AIMD theory to a specific system architecture, but the actual performance in the Teleo pipeline context is untested. The claim that AIMD is "perfect for" this setting is theoretical—empirical validation would strengthen confidence from experimental to likely.
+
+---
+
+Relevant Notes:
+- [[aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals]] <!-- claim pending -->
+- [[coordination mechanisms]]
+- [[designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm]]
+
+Topics:
+- domains/internet-finance/_map
+- core/mechanisms/_map
+- foundations/critical-systems/_map

domains/internet-finance/dao-event-perks-as-governance-incentives-create-plutocratic-access-structures-that-may-reduce-rather-than-increase-participation.md

@@ -0,0 +1,56 @@
+---
+type: claim
+domain: internet-finance
+description: "Dean's List proposal to reward top 5 governance holders with travel creates winner-take-all dynamics that may discourage marginal participation"
+confidence: speculative
+source: "Futardio proposal DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM, 2024-06-22"
+created: 2026-03-11
+---
+
+# DAO event perks as governance incentives create plutocratic access structures that may reduce rather than increase participation
+
+The Dean's List ThailandDAO proposal structured incentives as a steep hierarchy: top 5 governance power holders receive $2K+ in travel and accommodation, top 50 receive event invitations and airdrops, and everyone else receives nothing. This winner-take-all structure may discourage participation from members who recognize they cannot reach the top tiers.
+
+The proposal explicitly modeled itself on "MonkeDAO & SuperTeam" precedents and framed the vision as creating "a global network where DL DAO members come together at memorable events around the world" with "exclusive gatherings, dining in renowned restaurants, and embarking on unique cultural experiences." This positions DAO membership as access to luxury experiences rather than governance participation.
+
+## Why This May Reduce Participation
+
+1. **Rational non-participation** — Members who calculate they cannot reach top-5 or top-50 status have no incentive to increase governance power, since the marginal benefit of moving from rank 100 to rank 75 is zero
+
+2. **Plutocratic signaling** — Framing governance as a path to luxury travel and exclusive dining may attract rent-seekers rather than mission-aligned contributors
+
+3. **Lock-up requirements create barriers** — The proposal notes that "locking tokens for multiple years to increase governance power" is required to climb the leaderboard, which favors wealthy holders who can afford long-term illiquidity
+
+4. **Delegation doesn't solve the problem** — While the proposal allows delegation, "governance power transfers to the delegatee, not the original holder," meaning small holders still cannot access perks through delegation
+
+This contrasts with linear incentive structures (e.g., proportional rewards, quadratic distributions) that maintain marginal incentives for all participation levels.
+
+## Evidence
+
+- Top 5 members: $10K in travel and accommodation (12 days at DL DAO Villa)
+- Top 50 members: Event invitations, airdrops, "continuous perks"
+- Below top 50: No specified benefits
+- Governance power calculation: Token deposits + lock-up multipliers
+- Proposal status: Failed (2024-06-25)
+
+The proposal's failure may itself be evidence that this incentive structure did not successfully mobilize participation.
+
+## Challenges
+
+This claim is speculative because:
+- We don't have data on whether the proposal actually reduced participation (it failed before implementation)
+- Some DAOs successfully use tiered rewards (MonkeDAO, SuperTeam cited as precedents)
+- The proposal included a "feedback review session" for IslandDAO attendees, suggesting some attempt at broader inclusion
+
+However, the steep hierarchy (top 5 get $2K each, next 45 get unspecified perks, rest get nothing) creates structural barriers to broad-based participation.
+
+---
+
+Relevant Notes:
+- [[token voting DAOs offer no minority protection beyond majority goodwill]]
+- [[optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles]]
+
+Topics:
+- domains/internet-finance/_map
+- core/mechanisms/_map
+- foundations/collective-intelligence/_map

domains/internet-finance/futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md

@@ -40,6 +40,12 @@ Optimism futarchy achieved 430 active forecasters and 88.6% first-time governanc
 
 Sanctum's Wonder proposal failure reveals a new friction: team conviction vs. market verdict on strategic pivots. The team had strong conviction ('I want to build the right introduction to crypto: the app we all deserve, but no one is building') backed by market comparables (Phantom $3B, Jupiter $1.7B, MetaMask $320M fees) and team track record (safeguarding $1B+, making futarchy fun). Yet futarchy rejected the proposal. The team reserved 'the right to change details of the prospective features or go-to-market if we deem it better for the product' but submitted the core decision to futarchy, suggesting uncertainty about whether futarchy should govern strategic direction or just treasury/operations. This creates a new adoption friction: uncertainty about futarchy's appropriate scope (operational vs. strategic decisions) and whether token markets can accurately price founder conviction and domain expertise on product strategy.
 
+
+### Additional Evidence (confirm)
+*Source: [[2024-06-22-futardio-proposal-thailanddao-event-promotion-to-boost-deans-list-dao-engageme]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
+
+Dean's List ThailandDAO proposal included complex mechanics (token lockup multipliers, governance power calculations, leaderboard dynamics, multi-phase rollout with feedback sessions, payment-in-DEAN options at 10% discount) that increased evaluation friction. Despite favorable economics (16x projected FDV increase, $15K cost, 3% threshold), the proposal failed to attract trading volume. The proposal's own analysis noted the 3% requirement was 'small compared to the projected FDV increase' and 'achievable,' yet market participants did not engage, confirming that proposal complexity creates adoption barriers even when valuations are attractive.
+
 ---
 
 Relevant Notes:

domains/internet-finance/futarchy-proposals-with-favorable-economics-can-fail-due-to-participation-friction-not-market-disagreement.md

@@ -0,0 +1,55 @@
+---
+type: claim
+domain: internet-finance
+description: "Dean's List ThailandDAO proposal failed despite 16x projected FDV increase suggesting mechanism friction not valuation disagreement"
+confidence: experimental
+source: "Futardio proposal DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM, 2024-06-22"
+created: 2026-03-11
+depends_on: ["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", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements"]
+---
+
+# Futarchy proposals with favorable economics can fail due to participation friction not market disagreement
+
+The Dean's List DAO ThailandDAO event promotion proposal failed despite projecting a 16x FDV increase (from $123,263 to $2M+) with only $15K in costs and a 3% TWAP threshold. The proposal's own financial analysis showed the required 3% increase was "small compared to the projected FDV increase" and that the $73.95 per-participant value creation needed was "achievable." Yet the proposal failed to attract sufficient trading volume to pass.
+
+This failure pattern suggests futarchy markets can reject proposals not because traders disagree with the valuation thesis, but because:
+
+1. **Liquidity bootstrapping costs exceed expected returns** — Even when a proposal shows positive expected value, the capital and attention required to establish liquid conditional markets may exceed what individual traders can capture
+
+2. **Proposal complexity creates evaluation friction** — The ThailandDAO proposal included token lockup mechanics, governance power calculations, leaderboard dynamics, and multi-phase rollout plans that increase the cognitive cost of forming a trading position
+
+3. **Small DAOs face cold-start problems** — With Dean's List FDV at $123K, the absolute dollar amounts at stake may be too small to attract professional traders even when percentage returns are attractive
+
+This is distinct from [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]] because this proposal was contested (it failed) but still showed low participation. The market didn't actively reject the proposal through heavy fail-side trading — it failed to engage at all.
+
+## Evidence
+
+- Dean's List DAO current FDV: $123,263 (2024-06-22)
+- Proposal budget: $15K total ($10K travel, $5K events)
+- Required TWAP increase: 3% ($3,698 absolute)
+- Projected FDV: $2M+ (16x increase)
+- Proposal status: Failed (2024-06-25)
+- Trading period: 3 days
+- Autocrat version: 0.3
+
+The proposal explicitly calculated that only $73.95 in value creation per participant (50 participants) was needed to hit the 3% threshold, yet failed to attract sufficient trading interest.
+
+## Challenges
+
+Single-case evidence limits generalizability. The failure could be specific to:
+- Dean's List DAO's small size and limited liquidity
+- The proposal's specific structure (event promotion vs. treasury/technical decisions)
+- Timing or market conditions during the 3-day trading window
+
+However, this case provides concrete evidence that [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements]] operates even when the economics appear favorable.
+
+---
+
+Relevant Notes:
+- [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]]
+- [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements]]
+- [[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]]
+
+Topics:
+- domains/internet-finance/_map
+- core/mechanisms/_map

domains/internet-finance/moderate-scale-queueing-systems-benefit-from-simple-threshold-policies-over-sophisticated-algorithms-because-square-root-staffing-captures-most-efficiency-gains.md

@@ -0,0 +1,37 @@
+---
+type: claim
+domain: internet-finance
+description: "At 5-20 server scale, queueing theory threshold policies capture most benefit without algorithmic complexity"
+confidence: likely
+source: "van Leeuwaarden, Mathijsen, Sanders (SIAM Review 2018) - empirical validation of square-root staffing at moderate scale"
+created: 2026-03-11
+depends_on: ["square-root-staffing-principle-achieves-economies-of-scale-in-queueing-systems-by-operating-near-full-utilization-with-manageable-delays.md"]
+---
+
+# Moderate-scale queueing systems benefit from simple threshold policies over sophisticated algorithms because square-root staffing captures most efficiency gains
+
+For systems operating at moderate scale (5-20 servers), the mathematical properties of the Halfin-Whitt regime mean that simple threshold-based policies informed by queueing theory capture most of the available efficiency gains. Sophisticated dynamic algorithms add implementation complexity without proportional benefit at this scale.
+
+The square-root staffing principle works empirically even for systems as small as 5-6 servers, which means the core economies-of-scale insight applies well below the asymptotic regime where the mathematical proofs strictly hold. This has direct implications for pipeline architecture: a system with 5-6 workers doesn't need complex autoscaling algorithms or machine learning-based load prediction.
+
+## Evidence
+
+The SIAM Review tutorial explicitly notes that "square-root safety staffing works empirically even for moderate-sized systems (5-20 servers)" and that "at our scale (5-6 workers), we're in the 'moderate system' range where square-root staffing still provides useful guidance."
+
+The key takeaway from the tutorial: "we don't need sophisticated algorithms for a system this small. Simple threshold policies informed by queueing theory will capture most of the benefit."
+
+## Practical Application
+
+For Teleo pipeline architecture operating at 5-6 workers, this means:
+- Simple threshold-based autoscaling policies are sufficient
+- Complex predictive algorithms add cost without proportional benefit
+- The mathematical foundation (Halfin-Whitt regime) validates simple approaches at this scale
+
+---
+
+Relevant Notes:
+- [[square-root-staffing-principle-achieves-economies-of-scale-in-queueing-systems-by-operating-near-full-utilization-with-manageable-delays]]
+- domains/internet-finance/_map
+
+Topics:
+- core/mechanisms/_map

domains/internet-finance/square-root-staffing-formula-requires-peakedness-adjustment-for-non-poisson-arrivals.md

@@ -0,0 +1,36 @@
+---
+type: claim
+domain: internet-finance
+description: "Bursty arrival processes require more safety capacity than Poisson models predict, scaled by variance-to-mean ratio"
+confidence: proven
+source: "Whitt et al., 'Staffing a Service System with Non-Poisson Non-Stationary Arrivals', Cambridge Core, 2016"
+created: 2026-03-11
+---
+
+# Square-root staffing formula requires peakedness adjustment for non-Poisson arrivals because bursty processes need proportionally more safety capacity than the Poisson baseline predicts
+
+The standard square-root staffing formula (workers = mean load + safety factor × √mean) assumes Poisson arrivals where variance equals mean. Real-world arrival processes violate this assumption through burstiness (arrivals clustered in time) or smoothness (arrivals more evenly distributed than random).
+
+Whitt et al. extend the square-root staffing rule by introducing **peakedness** — the variance-to-mean ratio of the arrival process — as the key adjustment parameter. For bursty arrivals (peakedness > 1), systems require MORE safety capacity than Poisson models suggest. For smooth arrivals (peakedness < 1), systems need LESS.
+
+The modified staffing formula adjusts the square-root safety margin by multiplying by the square root of peakedness. This correction is critical for non-stationary systems where arrival rates vary over time (daily cycles, seasonal patterns, or event-driven spikes).
+
+## Evidence
+
+- Whitt et al. (2016) prove that peakedness — the variance-to-mean ratio — captures the essential non-Poisson behavior for staffing calculations
+- Standard Poisson assumption (variance = mean) fails empirically for bursty workloads like research paper dumps, product launches, or customer service spikes
+- Using constant staffing (fixed MAX_WORKERS) regardless of queue state creates dual failure: over-provisioning during quiet periods (wasted compute) and under-provisioning during bursts (queue explosion)
+
+## Relevance to Pipeline Architecture
+
+Teleo's research pipeline exhibits textbook non-Poisson non-stationary arrivals: research dumps arrive in bursts of 15+ sources, futardio launches come in waves of 20+ proposals, while other days see minimal activity. The peakedness parameter quantifies exactly how much extra capacity is needed beyond naive square-root staffing.
+
+This directly informs dynamic worker scaling: measure empirical peakedness from historical arrival data, adjust safety capacity accordingly, and scale workers based on current queue depth rather than using fixed limits.
+
+---
+
+Relevant Notes:
+- domains/internet-finance/_map
+
+Topics:
+- core/mechanisms/_map

domains/internet-finance/square-root-staffing-principle-achieves-economies-of-scale-in-queueing-systems-by-operating-near-full-utilization-with-manageable-delays.md

@@ -0,0 +1,35 @@
+---
+type: claim
+domain: internet-finance
+description: "The QED Halfin-Whitt regime shows server count n grows while utilization approaches 1 at rate Θ(1/√n)"
+confidence: proven
+source: "van Leeuwaarden, Mathijsen, Sanders (SIAM Review 2018) - Economies-of-Scale in Many-Server Queueing Systems"
+created: 2026-03-11
+---
+
+# Square-root staffing principle achieves economies of scale in queueing systems by operating near full utilization with manageable delays
+
+The QED (Quality-and-Efficiency-Driven) Halfin-Whitt heavy-traffic regime provides the mathematical foundation for understanding economies of scale in multi-server systems. As server count n grows, the system can operate at utilization approaching 1 while maintaining bounded delays, with the key insight that excess capacity needs to grow only at rate Θ(1/√n) rather than linearly.
+
+This "square root staffing" principle means larger systems need proportionally fewer excess servers for the same service quality. A system with 100 servers might need 10 excess servers for target service levels, while a system with 400 servers needs only 20 excess servers (not 40) for the same quality.
+
+The regime applies across system sizes from tens to thousands of servers, and empirical validation shows the square-root safety staffing works even for moderate-sized systems in the 5-20 server range.
+
+## Evidence
+
+From the SIAM Review tutorial:
+- Mathematical proof that utilization approaches 1 at rate Θ(1/√n) as server count grows
+- Empirical validation showing square-root staffing works for systems as small as 5-20 servers
+- The regime connects abstract queueing theory to practical staffing decisions across industries
+
+## Implications for Pipeline Architecture
+
+For systems in the 5-6 worker range, sophisticated dynamic algorithms provide minimal benefit over simple threshold policies informed by queueing theory. The economies-of-scale result also indicates that marginal value per worker decreases as systems grow beyond 20+ workers, which is critical for cost optimization in scaled deployments.
+
+---
+
+Relevant Notes:
+- domains/internet-finance/_map
+
+Topics:
+- core/mechanisms/_map

domains/internet-finance/time-varying-arrival-rates-require-dynamic-staffing-not-constant-max-workers.md

@@ -0,0 +1,42 @@
+---
+type: claim
+domain: internet-finance
+description: "Replacing non-stationary arrival rates with constant staffing leads to systematic over- or under-provisioning"
+confidence: proven
+source: "Whitt et al., 'Staffing a Service System with Non-Poisson Non-Stationary Arrivals', Cambridge Core, 2016"
+created: 2026-03-11
+---
+
+# Time-varying arrival rates require dynamic staffing not constant MAX_WORKERS because using average or maximum rates as constants creates systematic misallocation across the arrival cycle
+
+Non-stationary arrival processes — where the arrival rate itself changes over time — cannot be efficiently staffed with constant worker counts. Whitt et al. demonstrate that replacing time-varying rates with either the average rate or the maximum rate produces badly mis-staffed systems:
+
+- **Constant = average rate**: Under-staffed during peak periods, leading to queue explosions and service degradation
+- **Constant = maximum rate**: Over-staffed during off-peak periods, wasting capacity and compute resources
+
+The optimal approach tracks the arrival rate over time and adjusts staffing dynamically to match the current load plus an appropriate safety margin (scaled by peakedness for non-Poisson processes).
+
+## Evidence
+
+- Whitt et al. (2016) prove that time-varying arrival rates require time-varying staffing levels for efficiency
+- Constant staffing at maximum capacity wastes resources during low-traffic periods
+- Constant staffing at average capacity fails catastrophically during burst periods
+- Dynamic staffing based on current queue state and arrival rate estimates achieves both efficiency (no waste during quiet periods) and reliability (adequate capacity during bursts)
+
+## Application to Teleo Pipeline
+
+Teleo's research processing pipeline exhibits strong non-stationarity: research dumps and futardio launches create burst periods with 15-20+ simultaneous arrivals, while other periods see minimal activity. Using a fixed MAX_WORKERS setting (constant staffing) is the worst of both worlds:
+
+- During bursts: MAX_WORKERS is too low, queue explodes, processing stalls
+- During quiet periods: MAX_WORKERS is too high, workers sit idle, compute wasted
+
+Dynamic worker scaling based on current queue depth and estimated arrival rate (with peakedness adjustment) is the theoretically correct solution.
+
+---
+
+Relevant Notes:
+- [[square-root-staffing-formula-requires-peakedness-adjustment-for-non-poisson-arrivals]]
+- domains/internet-finance/_map
+
+Topics:
+- core/mechanisms/_map

entities/internet-finance/deans-list-thailanddao-event-promotion.md

@@ -0,0 +1,74 @@
+---
+type: entity
+entity_type: decision_market
+name: "Dean's List: ThailandDAO Event Promotion to Boost Governance Engagement"
+domain: internet-finance
+status: failed
+parent_entity: "[[deans-list]]"
+platform: "futardio"
+proposer: "HfFi634cyurmVVDr9frwu4MjGLJzz9XbAJz981HdVaNz"
+proposal_url: "https://www.futard.io/proposal/DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM"
+proposal_date: 2024-06-22
+resolution_date: 2024-06-25
+autocrat_version: "0.3"
+category: "grants"
+summary: "Proposal to fund ThailandDAO event promotion with travel and accommodation for top 5 governance holders to increase DAO engagement"
+key_metrics:
+  budget: "$15,000"
+  travel_allocation: "$10,000"
+  events_allocation: "$5,000"
+  required_twap_increase: "3%"
+  current_fdv: "$123,263"
+  projected_fdv: "$2,000,000+"
+  trading_period: "3 days"
+  top_tier_recipients: 5
+  second_tier_recipients: 50
+tracked_by: rio
+created: 2026-03-11
+---
+
+# Dean's List: ThailandDAO Event Promotion to Boost Governance Engagement
+
+## Summary
+
+Proposal to create a promotional event at ThailandDAO (Sept 25 - Oct 25, Koh Samui) offering exclusive perks to top governance power holders: airplane fares and accommodation for top 5 members, event invitations and airdrops for top 50. The initiative aimed to increase governance participation by creating a leaderboard with real-world rewards and offering DL DAO contributors the option to receive payments in $DEAN tokens at a 10% discount.
+
+## Market Data
+
+- **Outcome:** Failed
+- **Proposer:** HfFi634cyurmVVDr9frwu4MjGLJzz9XbAJz981HdVaNz
+- **Platform:** Futardio (Autocrat v0.3)
+- **Trading Period:** 3 days (2024-06-22 to 2024-06-25)
+- **Required TWAP Increase:** 3% ($3,698 absolute)
+- **Budget:** $15K total ($10K travel, $5K events)
+
+## Financial Projections
+
+The proposal projected significant FDV appreciation based on token lockup mechanics:
+- Current FDV: $123,263
+- Target FDV: $2,000,000+ (16x increase)
+- Mechanism: Members lock $DEAN tokens for multiple years to increase governance power and climb leaderboard
+- Expected token price appreciation: 15x (from $0.01 to $0.15)
+
+The proposal calculated that only $73.95 in value creation per participant (50 participants) was needed to meet the 3% TWAP threshold, describing this as "achievable" and "small compared to the projected FDV increase."
+
+## Significance
+
+This proposal is notable as a failure case for futarchy governance:
+
+1. **Favorable economics didn't guarantee passage** — Despite projecting 16x FDV increase with only $15K cost and a low 3% threshold, the proposal failed to attract sufficient trading volume
+
+2. **Plutocratic incentive structure** — Winner-take-all rewards (top 5 get $2K+ each, next 45 get unspecified perks, rest get nothing) may have discouraged broad participation
+
+3. **Complexity as friction** — The proposal included token lockup mechanics, governance power calculations, leaderboard dynamics, payment-in-DEAN options, and multi-phase rollout, increasing evaluation costs for traders
+
+4. **Small DAO liquidity challenges** — With FDV at $123K, the absolute dollar amounts may have been too small to attract professional traders even when percentage returns were attractive
+
+The proposal was modeled on MonkeDAO and SuperTeam precedents, framing DAO membership as access to "exclusive gatherings, dining in renowned restaurants, and embarking on unique cultural experiences."
+
+## Relationship to KB
+
+- [[deans-list]] — parent entity, governance decision
+- [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements]] — confirmed by this failure case
+- [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]] — extended to contested proposals
+- [[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]] — implementation details

entities/internet-finance/deans-list.md

@@ -48,4 +48,6 @@ Topics:
 
 - **2024-12-19** — [[deans-list-implement-3-week-vesting]] passed: 3-week linear vesting for DAO payments to reduce sell pressure from 80% immediate liquidation to 33% weekly rate, projected 15%-25% valuation increase
 
-- **2024-10-10** — [[islanddao-treasury-proposal]] passed: Established treasury reserve funded by 2.5% of USDC payments with risk-scored asset allocation (80/20 safe/risky split) and quarterly performance reviews managed by Kai (@DeFi_Kai)
+- **2024-10-10** — [[islanddao-treasury-proposal]] passed: Established treasury reserve funded by 2.5% of USDC payments with risk-scored asset allocation (80/20 safe/risky split) and quarterly performance reviews managed by Kai (@DeFi_Kai)
+- **2024-06-22** — [[deans-list-thailanddao-event-promotion]] proposed: $15K budget for ThailandDAO event promotion with travel for top 5 governance holders, requiring 3% TWAP increase
+- **2024-06-25** — [[deans-list-thailanddao-event-promotion]] failed: Despite projecting 16x FDV increase ($123K to $2M+), proposal failed to attract sufficient trading volume during 3-day window

inbox/archive/.extraction-debug/2024-08-28-futardio-proposal-proposal-7.json

@@ -0,0 +1,62 @@
+{
+  "raw_response": "```json\n{\n  \"claims\": [],\n  \"enrichments\": [],\n  \"entities\": [\n    {\n      \"filename\": \"metadao-proposal-7.md\",\n      \"domain\": \"internet-finance\",\n      \"action\": \"create\",\n      \"entity_type\": \"decision_market\",\n      \"content\": \"---\\ntype: entity\\nentity_type: decision_market\\nname: \\\"MetaDAO: Proposal #7\\\"\\ndomain: internet-finance\\nstatus: failed\\nparent_entity: \\\"[[metadao]]\\\"\\nplatform: \\\"futardio\\\"\\nproposer: \\\"HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc\\\"\\nproposal_url: \\\"https://www.futard.io/proposal/AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC6\\\"\\nproposal_date: 2024-08-28\\nresolution_date: 2024-09-01\\ncategory: \\\"unknown\\\"\\nsummary: \\\"MetaDAO Proposal #7 failed after 4-day voting period with no proposal text or market data available\\\"\\ntracked_by: rio\\ncreated: 2026-03-11\\n---\\n\\n# MetaDAO: Proposal #7\\n\\n## Summary\\nProposal #7 on MetaDAO was created on 2024-08-28 and failed on 2024-09-01. No proposal text, rationale, or market data is available in the source archive. The proposal ran on Autocrat version 0.3.\\n\\n## Market Data\\n- **Outcome:** Failed\\n- **Proposer:** HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc\\n- **Duration:** 4 days (2024-08-28 to 2024-09-01)\\n- **Platform:** Futardio\\n- **Autocrat Version:** 0.3\\n\\n## Significance\\nThis proposal represents an archival record of a failed MetaDAO governance decision. Without proposal content or market volume data, it serves primarily as a timeline marker in MetaDAO's governance history during the Autocrat v0.3 era.\\n\\n## Relationship to KB\\n- [[metadao]] - governance decision\\n- [[futardio]] - platform used\\n\",\n      \"timeline_entry\": \"- **2024-08-28** \u2014 [[metadao-proposal-7]] failed: Proposal #7 rejected after 4-day voting period (no details available)\"\n    }\n  ],\n  \"source_update\": {\n    \"status\": \"processed\",\n    \"processed_by\": \"rio\",\n    \"processed_date\": \"2026-03-11\",\n    \"claims_extracted\": [],\n    \"enrichments_applied\": [],\n    \"entities_updated\": [\"metadao-proposal-7.md\", \"metadao.md\"],\n    \"key_facts\": [\n      \"MetaDAO Proposal #7 created 2024-08-28, failed 2024-09-01\",\n      \"Proposal account: AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC6\",\n      \"DAO account: GWywkp2mY2vzAaLydR2MBXRCqk2vBTyvtVRioujxi5Ce\",\n      \"Proposer: HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc\",\n      \"Autocrat version: 0.3\"\n    ],\n    \"notes\": \"Source contains only metadata about a failed MetaDAO proposal with no proposal text, rationale, market data, or voting details. Created decision_market entity for archival completeness and timeline tracking. No extractable claims or enrichments due to absence of substantive content about mechanisms, outcomes, or governance dynamics. This is purely structural metadata documenting that a proposal existed and failed.\"\n  }\n}\n```",
+  "parsed": {
+    "claims": [],
+    "enrichments": [],
+    "entities": [
+      {
+        "filename": "metadao-proposal-7.md",
+        "domain": "internet-finance",
+        "action": "create",
+        "entity_type": "decision_market",
+        "content": "---\ntype: entity\nentity_type: decision_market\nname: \"MetaDAO: Proposal #7\"\ndomain: internet-finance\nstatus: failed\nparent_entity: \"[[metadao]]\"\nplatform: \"futardio\"\nproposer: \"HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc\"\nproposal_url: \"https://www.futard.io/proposal/AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC6\"\nproposal_date: 2024-08-28\nresolution_date: 2024-09-01\ncategory: \"unknown\"\nsummary: \"MetaDAO Proposal #7 failed after 4-day voting period with no proposal text or market data available\"\ntracked_by: rio\ncreated: 2026-03-11\n---\n\n# MetaDAO: Proposal #7\n\n## Summary\nProposal #7 on MetaDAO was created on 2024-08-28 and failed on 2024-09-01. No proposal text, rationale, or market data is available in the source archive. The proposal ran on Autocrat version 0.3.\n\n## Market Data\n- **Outcome:** Failed\n- **Proposer:** HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc\n- **Duration:** 4 days (2024-08-28 to 2024-09-01)\n- **Platform:** Futardio\n- **Autocrat Version:** 0.3\n\n## Significance\nThis proposal represents an archival record of a failed MetaDAO governance decision. Without proposal content or market volume data, it serves primarily as a timeline marker in MetaDAO's governance history during the Autocrat v0.3 era.\n\n## Relationship to KB\n- [[metadao]] - governance decision\n- [[futardio]] - platform used\n",
+        "timeline_entry": "- **2024-08-28** \u2014 [[metadao-proposal-7]] failed: Proposal #7 rejected after 4-day voting period (no details available)"
+      }
+    ],
+    "source_update": {
+      "status": "null-result",
+      "processed_by": "rio",
+      "processed_date": "2026-03-11",
+      "claims_extracted": [],
+      "enrichments_applied": [],
+      "entities_updated": [
+        "metadao-proposal-7.md",
+        "metadao.md"
+      ],
+      "key_facts": [
+        "MetaDAO Proposal #7 created 2024-08-28, failed 2024-09-01",
+        "Proposal account: AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC6",
+        "DAO account: GWywkp2mY2vzAaLydR2MBXRCqk2vBTyvtVRioujxi5Ce",
+        "Proposer: HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc",
+        "Autocrat version: 0.3"
+      ],
+      "notes": "Source contains only metadata about a failed MetaDAO proposal with no proposal text, rationale, market data, or voting details. Created decision_market entity for archival completeness and timeline tracking. No extractable claims or enrichments due to absence of substantive content about mechanisms, outcomes, or governance dynamics. This is purely structural metadata documenting that a proposal existed and failed.",
+      "model": "anthropic/claude-sonnet-4.5"
+    }
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-15",
+  "tokens": {
+    "prompt_tokens": 11434,
+    "completion_tokens": 1052,
+    "total_tokens": 12486,
+    "cost": 0.050082,
+    "is_byok": false,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "cache_write_tokens": 0,
+      "audio_tokens": 0,
+      "video_tokens": 0
+    },
+    "cost_details": {
+      "upstream_inference_cost": 0.050082,
+      "upstream_inference_prompt_cost": 0.034302,
+      "upstream_inference_completions_cost": 0.01578
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 0,
+      "image_tokens": 0,
+      "audio_tokens": 0
+    }
+  }
+}

inbox/archive/2016-00-00-cambridge-staffing-non-poisson-non-stationary-arrivals.md

@@ -6,8 +6,13 @@ url: https://www.cambridge.org/core/journals/probability-in-the-engineering-and-
 date: 2016-01-01
 domain: internet-finance
 format: paper
-status: unprocessed
+status: processed
 tags: [pipeline-architecture, operations-research, stochastic-modeling, non-stationary-arrivals, capacity-sizing]
+processed_by: rio
+processed_date: 2026-03-11
+claims_extracted: ["square-root-staffing-formula-requires-peakedness-adjustment-for-non-poisson-arrivals.md", "time-varying-arrival-rates-require-dynamic-staffing-not-constant-max-workers.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Operations research paper on staffing under non-Poisson non-stationary arrivals. Extracted two claims on peakedness adjustment and dynamic staffing requirements. Direct application to Teleo pipeline architecture for worker scaling. No entity data (academic paper, no companies/products/decisions). No enrichments (novel theoretical contribution not covered by existing claims)."
 ---
 
 # Staffing a Service System with Non-Poisson Non-Stationary Arrivals

inbox/archive/2016-00-00-corless-aimd-dynamics-distributed-resource-allocation.md

@@ -6,8 +6,13 @@ url: https://epubs.siam.org/doi/book/10.1137/1.9781611974225
 date: 2016-01-01
 domain: internet-finance
 format: paper
-status: unprocessed
+status: processed
 tags: [pipeline-architecture, operations-research, AIMD, distributed-resource-allocation, congestion-control, fairness]
+processed_by: rio
+processed_date: 2026-03-11
+claims_extracted: ["aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md", "aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims: (1) general AIMD mechanism properties as proven coordination algorithm, (2) specific application to Teleo pipeline architecture. The source is a formal mathematical treatment (SIAM monograph) providing rigorous proofs, making the first claim 'proven' confidence. The second claim is an application proposal with theoretical justification but no empirical validation, hence 'experimental'. No entities to extract—this is pure mechanism theory. No enrichments—AIMD is not currently referenced in the KB."
 ---
 
 # AIMD Dynamics and Distributed Resource Allocation
@@ -26,3 +31,10 @@ SIAM monograph on AIMD (Additive Increase Multiplicative Decrease) as a general-
 ## Relevance to Teleo Pipeline
 
 AIMD provides a principled, proven scaling algorithm: when eval queue is shrinking (no congestion), increase extraction workers by 1 per cycle. When eval queue is growing (congestion), halve extraction workers. This doesn't require predicting load, modeling arrivals, or solving optimization problems — it reacts to observed system state and is mathematically guaranteed to converge. Perfect for our "expensive compute, variable load" setting.
+
+
+## Key Facts
+- AIMD algorithm: additive increase (rate += α) when no congestion, multiplicative decrease (rate *= β, 0 < β < 1) when congestion detected
+- AIMD is the foundation of TCP congestion control
+- AIMD has been applied to internet congestion control, smart grid energy allocation, and distributed computing
+- AIMD convergence is mathematically proven regardless of number of agents or parameter values

inbox/archive/2018-00-00-siam-economies-of-scale-halfin-whitt-regime.md

@@ -6,8 +6,13 @@ url: https://epubs.siam.org/doi/10.1137/17M1133944
 date: 2018-01-01
 domain: internet-finance
 format: paper
-status: unprocessed
+status: processed
 tags: [pipeline-architecture, operations-research, queueing-theory, Halfin-Whitt, economies-of-scale, square-root-staffing]
+processed_by: rio
+processed_date: 2026-03-11
+claims_extracted: ["square-root-staffing-principle-achieves-economies-of-scale-in-queueing-systems-by-operating-near-full-utilization-with-manageable-delays.md", "moderate-scale-queueing-systems-benefit-from-simple-threshold-policies-over-sophisticated-algorithms-because-square-root-staffing-captures-most-efficiency-gains.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims about queueing theory and economies of scale. The source is a mathematical tutorial with proven results (SIAM Review), so confidence is 'proven' for the core mathematical claim and 'likely' for the practical application claim. No entities to extract (academic paper, no companies/products/decisions). The relevance to Teleo is in pipeline architecture optimization, which is noted in the source's 'Relevance to Teleo Pipeline' section."
 ---
 
 # Economies-of-Scale in Many-Server Queueing Systems
@@ -26,3 +31,9 @@ SIAM Review tutorial on the QED (Quality-and-Efficiency-Driven) Halfin-Whitt hea
 ## Relevance to Teleo Pipeline
 
 At our scale (5-6 workers), we're in the "moderate system" range where square-root staffing still provides useful guidance. The key takeaway: we don't need sophisticated algorithms for a system this small. Simple threshold policies informed by queueing theory will capture most of the benefit. The economies-of-scale result also tells us that if we grow to 20+ workers, the marginal value of each additional worker decreases — important for cost optimization.
+
+
+## Key Facts
+- Halfin-Whitt QED regime: utilization approaches 1 at rate Θ(1/√n)
+- Square-root staffing validated empirically for systems as small as 5-20 servers
+- 100-server system needs ~10 excess servers; 400-server system needs ~20 (not 40) for same quality

inbox/archive/2024-06-22-futardio-proposal-thailanddao-event-promotion-to-boost-deans-list-dao-engageme.md

@@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM
 date: 2024-06-22
 domain: internet-finance
 format: data
-status: unprocessed
+status: processed
 tags: [futardio, metadao, futarchy, solana, governance]
 event_type: proposal
 processed_by: rio
@@ -14,6 +14,12 @@ processed_date: 2024-06-22
 enrichments_applied: ["MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md", "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"]
 extraction_model: "anthropic/claude-sonnet-4.5"
 extraction_notes: "Extracted 2 claims about futarchy market failure modes and DAO incentive mechanisms. Both claims are experimental/speculative due to single-case evidence. Proposal failed despite seemingly favorable economics, which itself is evidence about futarchy adoption barriers. Enriched 3 existing claims with concrete implementation data and failure case confirmation."
+processed_by: rio
+processed_date: 2026-03-11
+claims_extracted: ["futarchy-proposals-with-favorable-economics-can-fail-due-to-participation-friction-not-market-disagreement.md", "dao-event-perks-as-governance-incentives-create-plutocratic-access-structures-that-may-reduce-rather-than-increase-participation.md"]
+enrichments_applied: ["MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md", "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"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted 2 claims about futarchy market failure modes and DAO incentive mechanisms. Both claims are experimental/speculative due to single-case evidence. Proposal failed despite seemingly favorable economics (16x projected FDV increase, low 3% threshold, $15K cost), which itself is evidence about futarchy adoption barriers. Created decision_market entity for the proposal. Enriched 3 existing claims with concrete implementation data and failure case confirmation."
 ---
 
 ## Proposal Details
@@ -182,3 +188,11 @@ This proposal to create a promotional event at ThailandDAO, incentivizing govern
 - Proposal completed: 2024-06-25
 - Required TWAP increase: 3% ($3,698 absolute)
 - Trading period: 3 days
+
+
+## Key Facts
+- Dean's List DAO FDV was $123,263 on 2024-06-22
+- ThailandDAO event scheduled for Sept 25 - Oct 25, 2024 in Koh Samui Thailand
+- Proposal used Autocrat v0.3 with 3-day trading period and 3% TWAP threshold
+- Proposal account: DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM
+- DAO account: 9TKh2yav4WpSNkFV2cLybrWZETBWZBkQ6WB6qV9Nt9dJ

inbox/archive/2024-08-28-futardio-proposal-proposal-7.md

@@ -6,13 +6,17 @@ url: "https://www.futard.io/proposal/AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC
 date: 2024-08-28
 domain: internet-finance
 format: data
-status: unprocessed
+status: null-result
 tags: [futardio, metadao, futarchy, solana, governance]
 event_type: proposal
 processed_by: rio
 processed_date: 2024-08-28
 extraction_model: "anthropic/claude-sonnet-4.5"
 extraction_notes: "This source contains only metadata about a failed MetaDAO proposal with no proposal text, rationale, market data, or voting details. The source provides verifiable facts (proposal number, accounts, dates, status) but no evidence supporting arguable claims about futarchy mechanisms, governance outcomes, or market behavior. Without proposal content or outcome analysis, there is nothing to extract as claims or enrichments. The existing claim 'MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions' could potentially be enriched if this proposal had volume data, but none is provided. This is purely archival metadata."
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Source contains only metadata about a failed MetaDAO proposal with no proposal text, rationale, market data, or voting details. Created decision_market entity for archival completeness and timeline tracking. No extractable claims or enrichments due to absence of substantive content about mechanisms, outcomes, or governance dynamics. This is purely structural metadata documenting that a proposal existed and failed."
 ---
 
 ## Proposal Details
@@ -39,3 +43,11 @@ extraction_notes: "This source contains only metadata about a failed MetaDAO pro
 - DAO account: GWywkp2mY2vzAaLydR2MBXRCqk2vBTyvtVRioujxi5Ce
 - Proposer: HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc
 - Autocrat version: 0.3
+
+
+## Key Facts
+- MetaDAO Proposal #7 created 2024-08-28, failed 2024-09-01
+- Proposal account: AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC6
+- DAO account: GWywkp2mY2vzAaLydR2MBXRCqk2vBTyvtVRioujxi5Ce
+- Proposer: HwBL75xHHKcXSMNcctq3UqWaEJPDWVQz6NazZJNjWaQc
+- Autocrat version: 0.3

inbox/archive/2024-11-13-futardio-proposal-cut-emissions-by-50.md

@@ -6,9 +6,13 @@ url: "https://www.futard.io/proposal/6LcxhHS3JvDtbS1GoQS18EgH5Pzf7AnqQpR7D4HxmWp
 date: 2024-11-13
 domain: internet-finance
 format: data
-status: unprocessed
+status: null-result
 tags: [futardio, metadao, futarchy, solana, governance]
 event_type: proposal
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Source is a futarchy governance proposal for Coal token emission schedule. Extracted as decision_market entity (the proposal itself) and created parent entity for Coal project. No novel claims about futarchy mechanisms - this is a straightforward application of existing governance patterns. The shift from algorithmic to market-driven emission control is notable but represents implementation of known futarchy principles rather than new mechanism insight."
 ---
 
 ## Proposal Details
@@ -66,3 +70,10 @@ A follow-up decision market will be held in early January, approximately two mon
 - Autocrat version: 0.3
 - Completed: 2024-11-17
 - Ended: 2024-11-17
+
+
+## Key Facts
+- Coal token emission rate reduced from 15.625 to 7.8125 per minute (2024-11-17)
+- Coal annual inflation reduced from ~110% to ~56% (2024-11-17)
+- Coal completed 6 halvings before governance transition
+- Coal proposal 6LcxhHS3JvDtbS1GoQS18EgH5Pzf7AnqQpR7D4HxmWpy passed (2024-11-17)