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c95ddcd07c astra: extract claims from 2026-03-00-artemis-program-restructuring.md
- Source: inbox/archive/2026-03-00-artemis-program-restructuring.md
- Domain: space-development
- Extracted by: headless extraction cron (worker 3)

Pentagon-Agent: Astra <HEADLESS>
2026-03-11 12:16:41 +00:00
245 changed files with 234 additions and 1249 deletions

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@ -20,12 +20,6 @@ This inverts the traditional relationship between knowledge bases and code. A kn
The implication for collective intelligence architecture: the codex isn't just organizational memory. It's the interface between human direction and autonomous execution. Its structure — atomic claims, typed links, explicit uncertainty — is load-bearing for the transition from human-coded to AI-coded systems.
### Additional Evidence (confirm)
*Source: [[2026-02-25-karpathy-programming-changed-december]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
Andrej Karpathy's February 2026 observation that coding agents underwent a phase transition in December 2025—shifting from 'basically didn't work' to 'basically work' with 'significantly higher quality, long-term coherence and tenacity' enabling them to 'power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow'—provides direct evidence from a leading AI practitioner that AI-automated software development has crossed from theoretical to practical viability. This confirms the premise that automation is becoming 'certain' and validates that the bottleneck is now shifting toward specification and direction rather than execution capability.
---
Relevant Notes:

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---
type: claim
domain: ai-alignment
secondary_domains: [teleological-economics]
description: "December 2025 marked a phase transition where coding agents shifted from mostly failing to mostly working on large tasks due to improved coherence and tenacity"
confidence: experimental
source: "Andrej Karpathy (@karpathy) tweet, February 25, 2026"
created: 2026-03-11
enrichments:
- "as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md"
- "the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real world impact.md"
- "the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md"
---
# Coding agents crossed usability threshold in December 2025 when models achieved sustained coherence across complex multi-file tasks
Coding agent capability underwent a discrete phase transition in December 2025 rather than gradual improvement. Andrej Karpathy, a leading AI practitioner, observed that before December, coding agents "basically didn't work" on large tasks; since December they "basically work" with "significantly higher quality, long-term coherence and tenacity" that enables them to "power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow."
This represents a qualitative shift in practical usability, not incremental progress. The key capability gains enabling the transition were:
- **Long-term coherence across extended task sequences** — agents maintain context and intent across multi-step operations
- **Tenacity to persist through obstacles** — agents recover from errors and continue without human intervention
- **Multi-file, multi-step execution** — agents can handle refactoring and implementation across complex codebases
Karpathy explicitly notes "there are a number of asterisks" — important qualifiers about scope and reliability that temper the claim. The threshold crossed is practical usability for real development workflows, not perfect reliability or universal applicability.
## Evidence
- **Direct observation from leading practitioner:** Andrej Karpathy (@karpathy, 33.8M followers, AI researcher and former Tesla AI director) stated in a tweet dated February 25, 2026: "It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the 'progress as usual' way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn't work before December and basically work since."
- **Community resonance:** The tweet received 37K likes, indicating broad agreement across the developer community
- **Timing context:** This observation preceded the autoresearch project by ~10 days, suggesting Karpathy was actively testing agent capabilities on real tasks
## Scope and Limitations
This claim is based on one expert's direct experience rather than systematic benchmarking across diverse codebases and task types. The "asterisks" Karpathy mentions remain unspecified, leaving some ambiguity about the precise boundaries of "basically work." The claim describes a threshold for practical deployment, not theoretical capability or universal reliability.
## Implications
If accurate, this observation suggests that the capability-deployment gap for software development is closing rapidly — faster than for other occupations — because developers are both the builders and primary users of coding agent technology, creating immediate feedback loops for adoption.

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---
type: claim
domain: ai-alignment
description: "MixDPO shows distributional β earns +11.2 win rate points on heterogeneous data at 1.021.1× cost, without needing demographic labels or explicit mixture models"
confidence: experimental
source: "Theseus via arXiv 2601.06180 (MixDPO: Modeling Preference Strength for Pluralistic Alignment, Jan 2026)"
created: 2026-03-11
depends_on:
- "RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values"
- "pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state"
---
# modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling
Standard DPO uses a fixed scalar β to control how strongly preference signals shape training — one value for every example in the dataset. This works when preferences are homogeneous but fails when the training set aggregates genuinely different populations with different tolerance for value tradeoffs. Since [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]], fixed-β DPO is a special case of that failure: it assumes not just one reward function but one preference sensitivity level.
MixDPO (arXiv 2601.06180, January 2026) generalizes this by treating β as a random variable drawn from a learned distribution p(β), optimized jointly with policy parameters θ. Two distributional families are evaluated: LogNormal (estimated via Monte Carlo with K=16 samples) and Gamma (admits closed-form optimization via the Lerch transcendent). The learned distribution encodes dataset-level variance in preference strength — how much the population's certainty about preferences actually varies across comparison pairs.
**Empirical results:** On the PRISM dataset (high preference heterogeneity), MixDPO achieves +11.2 win rate points over standard DPO on Pythia-2.8B. Macro-averaged preference margins — which weight minority preferences equally to majority preferences — improve substantially while micro-averaged margins (dominated by majority views) remain competitive. This demonstrates that distributional β improves pluralistic coverage without degrading majority-preference performance. On the Anthropic HH dataset (low heterogeneity), the learned distribution converges to low variance and gains are minimal — the method self-adapts rather than forcing complexity where data doesn't support it.
**Computational cost:** LogNormal adds 1.02× overhead; Gamma adds 1.1×. Pluralistic alignment via distributional β is not a computationally expensive research luxury — it is a practical default.
**Why no demographic labels are needed:** Preference heterogeneity is a property of the comparison pairs themselves, not of annotator identity. The distribution learns to allocate high β to examples where the comparison signal is sharp and low β to examples where preferences are diffuse — without any access to who provided the preferences. This contrasts with approaches like PAL (Pluralistic Alignment via Learned Prototypes) that require explicit user-cluster modeling.
Since [[pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state]], MixDPO is one concrete mechanism for distributional pluralism — the third form in Sorensen et al's taxonomy — implemented at the level of training dynamics rather than model outputs or constitutional specification.
## Challenges
MixDPO has not yet been compared to PAL or RLCF in the paper, leaving open whether distributional β outperforms explicit mixture modeling on the same benchmarks. The +11.2 win rate result is from a single preprint on Pythia-2.8B and has not been replicated at larger scales or across multiple evaluators.
---
Relevant Notes:
- [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]] — MixDPO is a constructive solution to this failure, not merely a diagnosis
- [[pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state]] — distributional β implements the distributional pluralism form without explicit demographic modeling
- [[collective intelligence requires diversity as a structural precondition not a moral preference]] — MixDPO preserves preference diversity structurally by encoding it in the training objective rather than averaging it out
Topics:
- [[_map]]

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@ -17,12 +17,6 @@ Karpathy's viral tweet (37,099 likes) marks when the threshold shifted: "coding
This mirrors the broader alignment concern that [[technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap]]. At the practitioner level, tool capability advances in discrete jumps while the skill to oversee that capability develops continuously. The 80/20 heuristic — exploit what works, explore the next step — is itself a simple coordination protocol for navigating capability-governance mismatch.
### Additional Evidence (extend)
*Source: [[2026-02-25-karpathy-programming-changed-december]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
December 2025 may represent the empirical threshold where autonomous coding agents crossed from 'premature adoption' (chaos-inducing) to 'capability-matched' (value-creating) deployment. Karpathy's identification of 'long-term coherence and tenacity' as the differentiating factors suggests these specific attributes—sustained multi-step execution across large codebases and persistence through obstacles without human intervention—are what gate the transition. Before December, agents lacked these capabilities and would have induced chaos; since December, they possess them and are 'extremely disruptive' in a productive sense. This provides a concrete inflection point for the capability-matched escalation model.
---
Relevant Notes:

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---
type: claim
domain: ai-alignment
description: "MixDPO's learned β distribution serves dual purpose: it improves pluralistic alignment on heterogeneous data and converges to low variance on homogeneous data, making dataset diversity legible without demographic annotations"
confidence: experimental
source: "Theseus via arXiv 2601.06180 (MixDPO: Modeling Preference Strength for Pluralistic Alignment, Jan 2026)"
created: 2026-03-11
depends_on:
- "modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling"
- "RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values"
---
# the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed-parameter behavior when preferences are homogeneous
Alignment methods that handle preference diversity create a design problem: when should you apply pluralistic training and when should you apply standard training? Requiring practitioners to audit their datasets for preference heterogeneity before training is a real barrier — most practitioners lack the demographic data or analytic tools to answer the question reliably.
MixDPO (arXiv 2601.06180) eliminates this requirement through a self-adaptive property. Because the preference sensitivity parameter β is learned as a distribution jointly with the policy, its variance at convergence encodes information about the dataset it was trained on:
- **High heterogeneity data (PRISM):** The learned distribution converges to high variance — β must range widely to account for the differing preference strengths across comparison pairs. The +11.2 win rate gain signals that this variance is informationally meaningful, not noise.
- **Low heterogeneity data (Anthropic HH):** The learned distribution converges to low variance, approximating a point mass near the standard fixed-β value. Performance gains are minimal — consistent with the interpretation that there is no latent diversity for the distribution to capture.
This means the learned variance is a post-hoc diagnostic: train once with MixDPO, read the converged variance, and you know whether your dataset had diverse preferences. No demographic labels, no separate audit pipeline, no prior assumption about your data source. The method earns complexity when the data warrants it and collapses to simpler baseline behavior when it does not.
This self-adaptive collapse property has design implications beyond MixDPO. A well-designed pluralistic alignment method should have this property structurally: if your training data were actually homogeneous, the method should behave as if you had used the simpler approach. Methods that impose complexity regardless of data content add overhead without alignment benefit. The distributional β framework provides a formal instantiation of this principle.
The interpretability extension is underexplored in the paper: if β variance tracks real preference heterogeneity, it could serve as a dataset quality metric for pluralistic alignment — a way to compare datasets on the dimension of preference diversity without needing annotator identity or demographic composition.
## Challenges
The self-adaptive interpretation rests on a single paper's results across two contrasting datasets. Whether learned β variance generalizes as a reliable diversity diagnostic across domains and model scales has not been empirically tested. The MixDPO paper does not analyze the learned distributions in depth — the diagnostic interpretation is partially an inference from the convergence behavior.
---
Relevant Notes:
- [[modeling preference sensitivity as a learned distribution rather than a fixed scalar resolves DPO diversity failures without demographic labels or explicit user modeling]] — the mechanism this claim describes the diagnostic property of
- [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]] — learned variance provides empirical evidence of whether a dataset falls into this failure mode
- [[pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state]] — self-adaptive collapse means pluralistic methods can be used safely even when diversity is unknown in advance
Topics:
- [[_map]]

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---
type: claim
domain: space-development
description: "Artemis III restructuring from lunar landing to LEO test mission provides concrete evidence that institutional space timelines are slipping while commercial capabilities accelerate"
description: "Artemis III restructuring from lunar landing to LEO test demonstrates institutional program slippage while commercial capabilities accelerate, providing concrete evidence for the governance gap thesis"
confidence: likely
source: "NASA official Artemis program timeline, March 2026"
source: "NASA Artemis program restructuring announcement, March 2026"
created: 2026-03-11
depends_on: ["space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly"]
---
# Artemis III descoped to LEO test provides evidence of widening institutional-commercial timeline gap
# Artemis III descoped to LEO test pushes first lunar landing to 2028, widening institutional-commercial timeline gap
NASA restructured the Artemis program in March 2026, converting Artemis III from the planned first crewed lunar landing into a LEO rendezvous and docking test mission scheduled for mid-2027. The first lunar landing is now pushed to Artemis IV in early 2028, creating a 56-year gap between Apollo 17 (1972) and the next human lunar landing.
NASA's March 2026 restructuring of Artemis III from a lunar landing mission to a LEO rendezvous and docking test represents a significant program descoping that pushes the first crewed lunar landing to Artemis IV in early 2028. This creates a 56-year gap since Apollo 17 (1972) and provides concrete quantitative evidence for the governance gap thesis: institutional programs advance linearly while commercial capabilities advance exponentially.
This restructuring provides concrete evidence supporting [[space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly]]. The institutional program exhibits multiple failure modes simultaneously:
## Timeline Slippage Evidence
1. **Timeline slippage**: Artemis II delayed to NET April 1, 2026 due to SLS upper stage helium flow issues requiring VAB rollback (February 25, 2026). Artemis III descoped entirely rather than delayed.
2. **Opacity on root cause**: The specific reason for Artemis III descoping (HLS readiness, spacesuit development, budget constraints) was not disclosed, suggesting coordination challenges across multiple subsystems.
3. **Contrast with commercial pace**: While NASA's flagship program slips, SpaceX's Starship development continues rapid iteration, demonstrating that commercial structures can maintain cadence where institutional programs cannot.
The restructuring follows multiple delays to Artemis II (now NET April 1, 2026) due to technical issues including a helium flow problem in the SLS upper stage that required rollback to the Vehicle Assembly Building on February 25, 2026. The original Artemis architecture planned for Artemis III to be the first lunar landing, but this capability has now been pushed back by at least one year—a classic institutional program slip pattern.
The 56-year gap between Apollo 17 and Artemis IV is not primarily a technical constraint—multiple subsystems are approaching readiness—but rather an institutional coordination and resource allocation problem. This pattern is consistent with the governance gap thesis: technology capability advances exponentially (ISRU systems at TRL 5-6, SLS hardware mature) while institutional design for coordinating multiple contractors and government agencies advances linearly.
## Institutional vs. Commercial Divergence
## Evidence
This timeline slippage occurs while commercial providers like SpaceX are rapidly advancing reusable launch systems and lunar lander capabilities. The institutional program's linear advancement (one mission per year, each delayed by technical issues) contrasts sharply with the exponential progress curve of commercial space technology. This divergence is the core mechanism of the governance gap: government programs are structurally constrained by procurement, oversight, and risk-aversion processes that cannot match the iteration speed of commercial operators.
- Artemis II: NET April 1, 2026 (delayed from earlier target due to SLS upper stage helium flow issue)
- Artemis II VAB rollback: February 25, 2026
- Artemis III: Converted from lunar landing mission to LEO rendezvous and docking test, mid-2027 target
- Artemis IV: Now designated as first lunar landing, early 2028 target
- Timeline gap: 56 years between Apollo 17 (1972) and planned next human lunar landing (2028)
- Crew for Artemis II: Wiseman, Glover, Koch (NASA) + Hansen (CSA), 10-day crewed lunar flyby
## Cislunar Economy Implications
The descoping also affects the entire cislunar economy attractor state timeline. Government-led lunar surface operations were expected to catalyze commercial ISRU and propellant infrastructure development by demonstrating demand and validating technology. A 2028 landing date (minimum) delays this catalytic effect by multiple years, pushing back the timeline for the cislunar industrial system by at least 2-3 years from earlier projections.
---
Relevant Notes:
- [[space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly]]
- [[the 30-year space economy attractor state is a cislunar industrial system with propellant networks lunar ISRU orbital manufacturing and partial life support closure]]
- [[SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal]]
Topics:
- [[domains/space-development/_map]]

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---
type: claim
domain: space-development
description: "Technology readiness (TRL 5-6) does not equal deployment readiness when resource location and distribution data is insufficient for operational planning—a distinct informational constraint separate from economic or engineering barriers"
confidence: likely
source: "NASA Artemis program ISRU status report, March 2026"
created: 2026-03-11
depends_on: ["water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management"]
---
# Lunar ISRU deployment blocked by resource knowledge gap despite TRL 5-6 technology readiness
NASA's March 2026 assessment reveals a critical constraint on lunar ISRU deployment that is distinct from both technology readiness and economic viability. Multiple prototype systems have reached TRL 5-6 (Technology Readiness Levels indicating component validation in relevant environments), including carbothermal reactors, IPEx excavators, and PVEx volatile extractors. However, NASA explicitly states that "lunar water/volatile extraction is lacking sufficient resource knowledge to proceed without significant risk" and that "a resilient resource exploration campaign is needed to understand and map lunar water before commercial extraction."
## The Readiness Paradox
This creates a paradox where the engineering technology is ready for deployment, but the fundamental resource data required for operational planning does not exist. You cannot optimize extraction system design, site selection, infrastructure placement, or economic feasibility without knowing:
- Where water ice deposits are located
- How much water is present at each site
- What form the water takes (buried ice, regolith-bound, subsurface)
- Accessibility and extraction difficulty
- Seasonal or diurnal variability
## Informational Constraint vs. Economic Paradox
This represents a distinct constraint from the ISRU economic paradox (where falling launch costs compete with the value of in-situ resources). Even if ISRU economics are favorable and technology is ready, deployment cannot proceed without resource characterization data. The constraint is informational, not technological or economic. It is a data problem, not an engineering problem.
## Timeline Implications
The implication is that a dedicated lunar resource prospecting campaign—likely involving multiple robotic missions with ground-penetrating radar, neutron spectrometry, and drilling capabilities—must precede any commercial ISRU infrastructure development. This adds years to the cislunar economy timeline and shifts the critical path from technology development to resource science. The bottleneck moves from "can we build it?" to "do we know where it is?"
---
Relevant Notes:
- [[water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management]]
- [[the 30-year space economy attractor state is a cislunar industrial system with propellant networks lunar ISRU orbital manufacturing and partial life support closure]]
- [[falling launch costs paradoxically both enable and threaten in-space resource utilization by making infrastructure affordable while competing with the end product]]
Topics:
- [[domains/space-development/_map]]

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---
type: claim
domain: space-development
description: "Lunar ISRU deployment is constrained by resource mapping requirements, not technology readiness, creating a knowledge-before-engineering sequencing problem"
confidence: likely
source: "NASA Artemis program ISRU status assessment, March 2026"
created: 2026-03-11
---
# Lunar ISRU deployment blocked by resource knowledge gap not technology readiness
NASA's March 2026 Artemis program assessment reveals a critical constraint on lunar ISRU deployment that inverts the typical technology readiness narrative. Multiple prototype systems have reached TRL 5-6 (Carbothermal reactor, IPEx excavator, PVEx volatile extractor), but NASA explicitly states that "lunar water/volatile extraction is lacking sufficient resource knowledge to proceed without significant risk" and that "a resilient resource exploration campaign is needed to understand and map lunar water before commercial extraction."
This creates a deployment sequencing problem: engineering systems are approaching operational readiness, but fundamental geological and resource distribution data are missing. Technology readiness does not equal deployment readiness when you cannot identify where concentrated deposits exist.
**Why this matters for the attractor state**: The cislunar industrial system depends on [[water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management]]. But accessing that water requires a resource mapping campaign that must precede ISRU infrastructure deployment. This introduces a multi-year sequencing delay into the attractor state timeline—you cannot bootstrap propellant networks without knowing where the propellant is.
**Interaction with launch cost economics**: This constraint may also interact with [[falling launch costs paradoxically both enable and threaten in-space resource utilization by making infrastructure affordable while competing with the end product]]. If concentrated water deposits cannot be identified, the economics of extraction versus Earth launch become even more uncertain, potentially favoring continued reliance on launch-supplied propellant over ISRU infrastructure.
**Caveat on institutional conservatism**: This assessment reflects NASA's institutional risk tolerance. Commercial operators with different risk profiles might proceed with ISRU deployment using probabilistic resource models rather than waiting for comprehensive mapping, creating a potential divergence between government and commercial timelines for ISRU deployment.
## Evidence
- Carbothermal reactor: TRL 5-6 (NASA assessment, March 2026)
- IPEx excavator: TRL 5-6 (NASA assessment, March 2026)
- PVEx volatile extractor: TRL 5-6 (NASA assessment, March 2026)
- NASA official statement: "lunar water/volatile extraction is lacking sufficient resource knowledge to proceed without significant risk"
- NASA requirement: "resilient resource exploration campaign is needed to understand and map lunar water before commercial extraction"
- Implication: Resource mapping campaign must precede ISRU infrastructure deployment
---
Relevant Notes:
- [[the 30-year space economy attractor state is a cislunar industrial system with propellant networks lunar ISRU orbital manufacturing and partial life support closure]]
- [[water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management]]
- [[falling launch costs paradoxically both enable and threaten in-space resource utilization by making infrastructure affordable while competing with the end product]]
- [[power is the binding constraint on all space operations because every capability from ISRU to manufacturing to life support is power-limited]]
- [[space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly]]
Topics:
- [[domains/space-development/_map]]

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@ -29,7 +29,7 @@ The governance gap framing assumes governance must precede activity, but histori
### Additional Evidence (confirm)
*Source: [[2026-03-00-artemis-program-restructuring]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
(Confirm) Artemis III restructuring from lunar landing to LEO test mission (mid-2027) with first lunar landing pushed to Artemis IV (early 2028) provides concrete evidence of institutional timeline slippage. Artemis II was also delayed to NET April 1, 2026 due to SLS upper stage helium flow issues requiring VAB rollback (February 25, 2026). The specific cause of Artemis III descoping was not disclosed, suggesting coordination challenges across multiple subsystems (HLS readiness, spacesuit development, budget constraints). This institutional slippage occurs simultaneously with rapid commercial space capability development (SpaceX Starship vertical integration, rapid iteration cadence). The 56-year gap between Apollo 17 (1972) and the next planned human lunar landing (2028) is not a technical constraint—multiple subsystems are at TRL 5-6 or higher—but rather an institutional coordination and resource allocation problem, consistent with the thesis that institutional design advances linearly while technology capability advances exponentially.
NASA's Artemis III restructuring provides concrete quantitative evidence for the governance gap thesis. The mission was descoped from a lunar landing to a LEO test in March 2026, pushing the first crewed lunar landing to 2028—a 56-year gap since Apollo 17. This occurred despite rapid commercial advancement in reusable launch systems and lunar lander capabilities. The Artemis II mission alone experienced multiple delays including a helium flow issue requiring VAB rollback on February 25, 2026. The institutional program timeline continues to slip linearly (one mission per year, each delayed by technical issues) while commercial capabilities advance exponentially, creating a widening divergence in pace. This is a direct instantiation of the governance gap mechanism: government programs are structurally constrained by procurement and risk-aversion processes that cannot match commercial iteration speed.
---

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@ -30,7 +30,7 @@ The investment framework this implies: position along the dependency chain that
### Additional Evidence (challenge)
*Source: [[2026-03-00-artemis-program-restructuring]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
(Challenge) Artemis program restructuring introduces a multi-year resource mapping requirement before ISRU deployment can begin. NASA's March 2026 assessment states that lunar ISRU technology (Carbothermal reactor, IPEx excavator, PVEx volatile extractor) has reached TRL 5-6, but deployment is blocked by the requirement for "a resilient resource exploration campaign to understand and map lunar water before commercial extraction." This means the 30-year attractor state timeline must account for a sequencing delay: you cannot bootstrap propellant networks without knowing where concentrated water deposits exist. Additionally, Artemis III was descoped from a lunar landing to a LEO test mission, pushing the first crewed lunar landing to Artemis IV in early 2028 (56 years after Apollo 17). This delays the initial operational ISRU deployment window and may compress the timeline for establishing orbital propellant depots before the attractor state can self-sustain.
(challenge) The attractor state timeline faces two new constraints from the Artemis restructuring. First, government-led lunar surface operations (now delayed to 2028 minimum) were expected to catalyze commercial ISRU development, but this catalytic effect is pushed back multiple years. Second, and more fundamentally, NASA explicitly states that lunar ISRU 'is lacking sufficient resource knowledge to proceed without significant risk' despite technology reaching TRL 5-6. A 'resilient resource exploration campaign is needed to understand and map lunar water before commercial extraction.' This means the critical path to ISRU is not technology development or economics, but resource characterization—a multi-year robotic prospecting campaign that must precede infrastructure deployment. The attractor state timeline may need to account for this informational constraint as a gating factor independent of technology readiness or economic viability.
---

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---
type: entity
entity_type: company
name: "Drift Protocol"
domain: internet-finance
handles: ["@DriftProtocol"]
website: https://drift.trade
status: active
tracked_by: rio
created: 2026-03-11
last_updated: 2026-03-11
category: "Perpetuals DEX / DeFi protocol (Solana)"
stage: growth
key_metrics:
futarchy_proposals: "6+ proposals on MetaDAO platform (grants, working group, AI agents, competitions)"
drift_allocated: "150,000+ DRIFT allocated through futarchy governance"
built_on: ["Solana"]
competitors: ["[[omnipair]]"]
tags: ["perps", "solana", "futarchy-adopter", "metadao-ecosystem"]
---
# Drift Protocol
## Overview
Perpetuals DEX on Solana — one of the largest decentralized derivatives platforms. Significant to the MetaDAO ecosystem for two reasons: (1) Drift adopted futarchy governance through MetaDAO's platform, making it the highest-profile external organization to use futarchic decision-making, and (2) Drift represents the future competitive threat to OmniPair's leverage monopoly on MetaDAO ecosystem tokens.
## Current State
- **Futarchy adoption**: Drift has run 6+ governance proposals through MetaDAO's futarchy platform since May 2024, allocating 150,000+ DRIFT tokens through futarchic decisions. This includes the Drift Foundation Grant Program (100K DRIFT), "Welcome the Futarchs" retroactive rewards (50K DRIFT), Drift AI Agents grants program (50K DRIFT), Drift Working Group funding, and SuperTeam Earn creator competitions.
- **AI Agents program**: Drift allocated 50,000 DRIFT for an AI Agents Grants program (Dec 2024) covering trading agents, yield agents, information agents, and social agents. Early signal of DeFi protocols investing in agentic infrastructure.
- **Leverage competitor**: Currently, OmniPair is the "only game in town" for leverage on MetaDAO ecosystem tokens. However, if MetaDAO reaches ~$1B valuation, Drift and other perp protocols will likely list META and ecosystem tokens — eroding OmniPair's temporary moat.
- **Perps aggregation**: Ranger Finance aggregated Drift (among others) before its liquidation.
## Timeline
- **2024-05-30** — First futarchy proposal: "Welcome the Futarchs" — 50K DRIFT to incentivize futarchy participation
- **2024-07-09** — Drift Foundation Grant Program initialized via futarchy (100K DRIFT)
- **2024-08-27** — SuperTeam Earn creator competition funded via futarchy
- **2024-12-19** — AI Agents Grants program: 50K DRIFT for trading, yield, info, and social agents
- **2025-02-13** — Drift Working Group funded via futarchy
## Competitive Position
- **Futarchy validation**: Drift using MetaDAO's governance system is the strongest external validation signal — a major protocol choosing futarchy over traditional token voting for real treasury decisions.
- **Future leverage threat**: Drift listing META perps would directly compete with OmniPair for leverage demand. This is OmniPair's identified "key vulnerability" — the moat is temporary.
- **Scale differential**: Drift operates at much larger scale than the MetaDAO ecosystem. Its adoption of futarchy is disproportionately significant as a credibility signal.
## Relationship to KB
- [[futarchy implementations must simplify theoretical mechanisms for production adoption because original designs include impractical elements that academics tolerate but users reject]] — Drift's adoption validates that simplified futarchy works for real organizations
- [[permissionless leverage on metaDAO ecosystem tokens catalyzes trading volume and price discovery that strengthens governance by making futarchy markets more liquid]] — Drift is the future competitor that erodes OmniPair's leverage monopoly
- [[governance mechanism diversity compounds organizational learning because disagreement between mechanisms reveals information no single mechanism can produce]] — Drift running both traditional governance and futarchy provides comparative data
---
Relevant Entities:
- [[metadao]] — futarchy platform provider
- [[omnipair]] — current leverage competitor (OmniPair holds temporary monopoly)
- [[ranger-finance]] — former aggregation client (liquidated)
Topics:
- [[internet finance and decision markets]]

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---
type: entity
entity_type: company
name: "Jupiter"
domain: internet-finance
handles: ["@JupiterExchange"]
website: https://jup.ag
status: active
tracked_by: rio
created: 2026-03-11
last_updated: 2026-03-11
category: "DEX aggregator / DeFi hub (Solana)"
stage: mature
key_metrics:
role_in_ecosystem: "Primary aggregator for MetaDAO ecosystem token routing"
omnipair_catalyst: "Jupiter SDK integration expected to ~3x OmniPair volume"
built_on: ["Solana"]
tags: ["DEX-aggregator", "solana", "infrastructure", "metadao-adjacent"]
---
# Jupiter
## Overview
The dominant DEX aggregator on Solana — routes trades across all Solana AMMs to find optimal execution. Critical infrastructure for the MetaDAO ecosystem: Jupiter integration determines whether ecosystem tokens are tradeable by the broader Solana market. The Jupiter team forked OmniPair's SDK (as of ~March 2026) to enable direct routing through OmniPair pools, making this integration the single highest-impact catalyst for OmniPair's volume growth.
## Current State
- **Aggregator role**: Routes trades across Raydium, Meteora, OmniPair, and other Solana AMMs. Being listed on Jupiter is effectively a prerequisite for meaningful trading volume on Solana.
- **OmniPair integration**: Jupiter team forked OmniPair's SDK (~March 2026). Integration expected to roughly triple OmniPair volume and close most of the APY gap with Raydium. This is the single highest-impact near-term catalyst for the MetaDAO ecosystem's DeFi infrastructure.
- **Ranger Finance**: Ranger's perps aggregation product aggregated Jupiter (among others) before its liquidation.
- **Ecosystem significance**: Jupiter is not a MetaDAO ecosystem project — it's Solana-wide infrastructure. But its routing decisions determine liquidity accessibility for every MetaDAO token.
## Competitive Position
- **Dominant position**: The default swap interface for Solana users. Near-monopoly on DEX aggregation.
- **Infrastructure dependency**: MetaDAO ecosystem tokens that aren't routed through Jupiter have severely limited discoverability and volume. OmniPair's DexScreener visibility issue (~10% of liquidity displayed) compounds this — Jupiter routing partially compensates.
- **Not a direct competitor**: Jupiter aggregates, not competes with, MetaDAO ecosystem AMMs. The relationship is symbiotic — more AMMs with unique pools give Jupiter more routing options.
## Relationship to KB
- [[permissionless leverage on metaDAO ecosystem tokens catalyzes trading volume and price discovery that strengthens governance by making futarchy markets more liquid]] — Jupiter routing is the primary channel through which broader Solana liquidity reaches MetaDAO ecosystem tokens
- [[MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale]] — Jupiter integration is infrastructure-level validation for the MetaDAO ecosystem
---
Relevant Entities:
- [[omnipair]] — SDK integration (highest-impact catalyst)
- [[meteora]] — routed AMM
- [[raydium]] — routed AMM
- [[ranger-finance]] — former aggregation client (liquidated)
Topics:
- [[internet finance and decision markets]]

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---
type: entity
entity_type: company
name: "Meteora"
domain: internet-finance
handles: ["@MeteoraAG"]
website: https://meteora.ag
status: active
tracked_by: rio
created: 2026-03-11
last_updated: 2026-03-11
category: "Liquidity protocol / AMM (Solana)"
stage: growth
key_metrics:
metadao_revenue_share: "46% of MetaDAO Q4 2025 revenue ($1.15M) from Meteora LP positions"
standard_allocation: "900K tokens per Futardio launch placed in Meteora pool"
competitors: ["[[raydium]]", "[[omnipair]]"]
built_on: ["Solana"]
tags: ["AMM", "DLMM", "liquidity", "solana", "metadao-infrastructure"]
---
# Meteora
## Overview
Solana liquidity protocol offering Dynamic Liquidity Market Maker (DLMM) pools, concentrated liquidity, and dynamic bonding pools. Critical infrastructure for the MetaDAO ecosystem — every Futardio launch allocates 900K tokens to a Meteora pool as part of the standard token issuance template, and Meteora LP positions generated 46% of MetaDAO's $2.51M Q4 2025 revenue.
## Current State
- **Role in MetaDAO ecosystem**: Default secondary liquidity venue. Standard Futardio launch template: 10M token base issuance + 2M Futarchic AMM + 900K Meteora + performance package. Meteora provides the non-futarchic liquidity layer.
- **Revenue generation**: MetaDAO earned $1.15M from Meteora LP positions in Q4 2025 (46% of total $2.51M revenue). The remaining 54% came from the Futarchic AMM.
- **Protocol-owned liquidity**: MetaDAO maintains protocol-owned liquidity on Meteora (e.g., META-USDC pool). The META token migration proposal (Aug 2025) included withdrawing protocol-owned liquidity from Meteora as a migration step.
- **Dynamic Bonding Pools**: Used by projects like Phonon Studio AI for tokenized AI artist trading — Meteora DBC Pools enable token launches tied to dynamic bonding curves.
- **DLMM**: Concentrated liquidity pools used by Paystream and other DeFi protocols for routing strategies.
## Timeline
- **2024-02** — MetaDAO executes Dutch auction on OpenBook, pairs USDC with META for Meteora LP (first formal META liquidity on Meteora)
- **2024-02** — $100K OTC trade with Ben Hawkins includes creating 50/50 Meteora LP 1% Volatile Pool META-USDC
- **2025-Q4** — Meteora LP generates $1.15M in fees for MetaDAO (Pine Analytics Q4 report)
- **2025-10 to 2026-03** — Every Futardio launch allocates 900K tokens to Meteora pool as standard template
## Competitive Position
- **Infrastructure role**: Not competing with MetaDAO — provides complementary liquidity infrastructure. Meteora is the LP venue; Futarchic AMM is the governance venue.
- **vs Raydium**: Both are major Solana AMMs. Raydium offers CLMM (concentrated liquidity). Meteora differentiates with DLMM and dynamic bonding pools.
- **vs OmniPair**: OmniPair combines AMM + lending (leverage). Meteora is pure liquidity provision — different use case but competes for LP capital on the same token pairs.
- **Structural advantage**: Deep integration with MetaDAO ecosystem through standard launch template creates reliable flow of new token pairs.
## Relationship to KB
- [[MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale]] — Meteora provides the secondary liquidity layer for every MetaDAO launch
- [[permissionless leverage on metaDAO ecosystem tokens catalyzes trading volume and price discovery that strengthens governance by making futarchy markets more liquid]] — Meteora pools are one venue where this liquidity lives
---
Relevant Entities:
- [[metadao]] — ecosystem partner, revenue source
- [[omnipair]] — competing for LP capital
- [[raydium]] — AMM competitor on Solana
- [[futardio]] — launch template integration
Topics:
- [[internet finance and decision markets]]

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---
type: entity
entity_type: person
name: "Nallok"
domain: internet-finance
handles: ["@metanallok"]
status: active
tracked_by: rio
created: 2026-03-11
last_updated: 2026-03-11
role: "Co-founder & Operator, MetaDAO"
organizations: ["[[metadao]]", "[[futardio]]"]
known_positions:
- "Futarchy requires mechanism simplification for production adoption — Robin Hanson's original designs include impractical elements"
- "Futarchy as a Service (FaaS) is the scaling path for futarchy governance"
tags: ["futarchy", "mechanism-design", "solana", "metadao-ecosystem"]
---
# Nallok
## Overview
Co-founder and primary operator of MetaDAO. Legal name Kollan House. Serves as the key operational figure behind MetaDAO LLC (Republic of the Marshall Islands DAO LLC, 852 Lagoon Rd, Majuro, MH 96960) and sole Director of the Futarchy Governance SPC (Cayman Islands). While Proph3t is the public face and mechanism architect, Nallok handles legal structure, business development, treasury operations, and ecosystem coordination.
## Significance
- **Legal infrastructure**: Built MetaDAO's legal wrapper — the RMI DAO LLC + Cayman SPC structure that addresses the Ooki DAO precedent (DAOs without legal wrappers face general partnership liability)
- **Futarchy as a Service (FaaS)**: Proposed and led development of FaaS (March 2024) — the concept that futarchy governance can be offered as infrastructure to other DAOs, not just MetaDAO
- **Mechanism pragmatism**: Noted that Robin Hanson wanted random proposal outcomes — "impractical for production." This insight drove MetaDAO's simplification of futarchy theory into deployable mechanism design
- **Treasury operations**: Co-manages multi-sig for MetaDAO treasury. Involved in OTC trades, liquidity management, and compensation proposals
- **Compensation structure**: Nallok and Proph3t share a performance-based package (2% of supply per $1B FDV increase, up to 10% at $5B) — itself a statement about incentive alignment through futarchic governance
## Key Contributions to KB
- Primary source for futarchy mechanism simplification claims — the gap between Hanson's theory and production reality
- Operational knowledge of MetaDAO's legal structure (RMI DAO LLC, Cayman SPC)
- FaaS proposal history — the scaling thesis for futarchy governance
- Contact: kollan@metadao.fi
## Relationship to KB
- [[futarchy implementations must simplify theoretical mechanisms for production adoption because original designs include impractical elements that academics tolerate but users reject]] — Nallok's direct observation about Hanson's impractical proposals
- [[Ooki DAO proved that DAOs without legal wrappers face general partnership liability making entity structure a prerequisite for any futarchy-governed vehicle]] — Nallok built the legal structure that addresses this
- [[futarchy-governed entities are structurally not securities because prediction market participation replaces the concentrated promoter effort that the Howey test requires]] — Nallok engaged legal counsel to investigate this question
---
Relevant Entities:
- [[metadao]] — co-founded
- [[futardio]] — operates
- [[proph3t]] — co-founder
Topics:
- [[internet finance and decision markets]]

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---
type: entity
entity_type: company
name: "Raydium"
domain: internet-finance
handles: ["@RaydiumProtocol"]
website: https://raydium.io
status: active
tracked_by: rio
created: 2026-03-11
last_updated: 2026-03-11
category: "AMM / DEX (Solana)"
stage: mature
built_on: ["Solana"]
competitors: ["[[meteora]]", "[[omnipair]]"]
tags: ["AMM", "CLMM", "solana", "metadao-adjacent"]
---
# Raydium
## Overview
One of the two dominant AMMs on Solana (alongside Meteora). Offers concentrated liquidity market maker (CLMM) pools. Referenced throughout the MetaDAO ecosystem as the primary benchmark for AMM yield and volume — OmniPair's competitive thesis is explicitly framed as "must yield more than Raydium for equivalent pools" once Jupiter aggregator integration is live.
## Current State
- **Competitive benchmark**: OmniPair founder Rakka argues mathematically that OmniPair (same AMM + aggregator integration + borrow rate surplus) must yield more than Raydium for equivalent pools. This is the core competitive claim for OmniPair's value proposition.
- **CLMM pools**: Used by DeFi protocols like Paystream for automated LP strategies across Raydium CLMM, Meteora DLMM, and DAMM v2 pools.
- **Liquidity farming**: MetaDAO's FUTURE token had Raydium liquidity farming initiated via futarchy proposal (Nov 2024).
- **Volume reference**: Jupiter aggregates Raydium pools. OmniPair's expected ~3x volume increase from Jupiter integration is benchmarked against closing "the APY gap with Raydium."
## Competitive Position
- **Established incumbent**: Raydium has deep liquidity across Solana token pairs. New AMMs like OmniPair compete for the same LP capital.
- **vs OmniPair**: OmniPair differentiates by combining AMM + lending (leverage) in the same pool. Raydium is pure AMM — no lending, no leverage. For MetaDAO ecosystem tokens specifically, OmniPair offers a unique value proposition (leverage for futarchy bets). For general Solana trading, Raydium's deeper liquidity dominates.
- **vs Meteora**: Both are major Solana AMMs. Raydium's CLMM competes with Meteora's DLMM for concentrated liquidity provision.
## Relationship to KB
- [[permissionless leverage on metaDAO ecosystem tokens catalyzes trading volume and price discovery that strengthens governance by making futarchy markets more liquid]] — Raydium is the benchmark OmniPair must beat to attract LP capital away from established pools
---
Relevant Entities:
- [[omnipair]] — competitor (OmniPair claims superior yield through AMM+lending combination)
- [[meteora]] — AMM competitor on Solana
- [[jupiter]] — aggregates Raydium pools
Topics:
- [[internet finance and decision markets]]

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---
type: entity
entity_type: company
name: "Theia Research"
domain: internet-finance
handles: ["@TheiaResearch"]
status: active
tracked_by: rio
created: 2026-03-11
last_updated: 2026-03-11
founded: 2024-01-01
category: "Onchain liquid token fund"
stage: growth
key_metrics:
metadao_otc_total: "$1.63M across 3 OTC trades (Jan 2025: $500K, Jul 2025: $630K, Jan 2025: $500K)"
meta_tokens_held: "1,070+ META tokens via OTC"
investment_approach: "Kelly Criterion at 20% of full Kelly, Bayesian updating"
competitors: []
built_on: ["Solana", "Ethereum"]
tags: ["institutional-investor", "metadao-ecosystem", "internet-finance-thesis", "token-governance"]
---
# Theia Research
## Overview
Onchain liquid token fund managed by Felipe Montealegre. Invests in companies building the "Internet Financial System" — taking large positions in small-cap tokens through structured OTC deals with 2-4 year investment horizons. The most significant institutional investor in the MetaDAO ecosystem, holding 1,070+ META tokens acquired at premiums to market price. Coined the "Token Problem" framework (lemon market dynamics in token markets) and published the Token Transparency Framework with Blockworks.
## Current State
- **Fund structure**: Theia Blockchain Partners Master Fund LP
- **Investment thesis**: Internet Financial System replacing permissioned, siloed traditional finance. Five advantages: free capital flows, improved property rights, financial accessibility, operational efficiency, faster GDP growth.
- **MetaDAO position**: Largest known institutional holder. Holds MetaDAO specifically for "prioritizing investors over teams" — the competitive moat that futarchy creates. Three OTC trades totaling $1.63M, all at premiums to spot.
- **AI integration**: Uses LLMs as "backbone of process improvements." Internal dashboards consolidating Discord, Notion, GitHub. Planning "AI agents that can perform discrete tasks" for competitive analysis.
- **Research output**: Published "The Investment Manager of the Future" (Feb 2026), arguing LLMs shift investment from economies of scale to economies of edge. 292 bookmarks — most saved piece in its batch. Also published internet finance thesis with 50-100bps GDP growth projection.
## Timeline
- **2025-01-03** — First MetaDAO OTC trade: $500K for META tokens
- **2025-01-07** — Published internet finance thesis (IFS as better financial system for 8B people)
- **2025-01-27** — Second OTC trade: $500K for 370 META at $1,350/token
- **2025-07-21** — Third OTC trade: $630K for 700 META at $900/token (38% premium to spot). Funds used to extend MetaDAO runway + legal advisory.
- **2026-02-12** — Published 2025 Annual Letter. Five-phase investment loop: moat analysis → multiples → prediction → Kelly sizing → Bayesian updating. Noah Goldberg promoted to equity partner, Thomas Bautista hired.
- **2026-02-17** — Published "The Investment Manager of the Future." LLMs invert 80/20 ratio of execution vs analysis.
## Competitive Position
- **Unique positioning**: Only known institutional fund explicitly building investment thesis around futarchy governance as a moat
- **Token governance focus**: Launched Token Transparency Framework with Blockworks. Describes "Lemon Problem in Token Markets" — the structural issue of quality tokens being indistinguishable from scams
- **Strategic value to MetaDAO**: OTC trades funded legal/regulatory review, extending ecosystem credibility beyond pure speculation
- **Economies of edge thesis**: Argues 5 high-agency analysts with LLMs replace 100 junior staff — structural case for why small, domain-expert investment entities (Living Agents) become viable
## Investment Thesis
Theia validates the Living Capital model — a sophisticated institutional investor using rigorous frameworks (Kelly Criterion, Bayesian updating, Helmer's 7 Powers) to allocate into futarchy-governed tokens. Their "economies of edge" thesis is the structural argument for why Living Capital vehicles work now: LLMs collapse the 80% execution overhead that forced funds to accumulate AUM. If Theia demonstrates persistent alpha from this approach, it becomes the reference case for agentic investment management.
**Thesis status:** TRACKING (not an investment target — a validation signal for the Living Capital model)
## Relationship to KB
- [[LLMs shift investment management from economies of scale to economies of edge because AI collapses the analyst labor cost that forced funds to accumulate AUM rather than generate alpha]] — Theia's core contribution to the KB
- [[internet finance generates 50 to 100 basis points of additional annual GDP growth by unlocking capital allocation to previously inaccessible assets and eliminating intermediation friction]] — Theia's macro thesis
- [[publishing investment analysis openly before raising capital inverts hedge fund secrecy because transparency attracts domain-expert LPs who can independently verify the thesis]] — Theia exemplifies this model
- [[futarchy-governed entities are structurally not securities because prediction market participation replaces the concentrated promoter effort that the Howey test requires]] — Theia funded MetaDAO's legal advisory to investigate this question
---
Relevant Entities:
- [[metadao]] — largest institutional investor
- [[proph3t]] — founder of MetaDAO, primary counterparty
- [[nallok]] — MetaDAO operator, OTC trade counterparty
Topics:
- [[internet finance and decision markets]]

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@ -8,7 +8,6 @@ domain: health
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format: paper
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priority: high
tags: [medicare-advantage, medicare-history, political-economy, risk-adjustment, payment-formula, hmo]
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@ -8,7 +8,6 @@ domain: ai-alignment
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@ -7,7 +7,6 @@ date: 2019-01-01
domain: ai-alignment
format: paper
status: null-result
last_attempted: 2026-03-11
tags: [superorganism, ecological-economics, academic-paper]
linked_set: superorganism-sources-mar2026
notes: "Paywalled academic paper on ScienceDirect. Crawl4AI returned only 1.5K chars of header/navigation. Content not accessible without institutional access. Consider accessing via Sci-Hub or requesting from author."

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@ -8,7 +8,6 @@ domain: critical-systems
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@ -7,7 +7,6 @@ date: 2020-01-01
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@ -8,7 +8,6 @@ domain: ai-alignment
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@ -7,7 +7,6 @@ date: 2022-01-01
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/9RisXkQCFLt7NA29vt5aWatcnU8SkyBgS95HxXhwXhW
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@ -7,7 +7,6 @@ date: 2024-01-01
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@ -8,7 +8,6 @@ domain: ai-alignment
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@ -8,7 +8,6 @@ domain: health
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/US8j6iLf9GkokZbk89Bo1qnGBees5etv5sEfsfvCoZK
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/E1FJAp8saDU6Da2ccayjLBfA53qbjKRNYvu7QiMAnjQ
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/Dn638yPirR3e2UNNECpLNJApDhxsjhJTAv9uEd9LBVV
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@ -8,7 +8,6 @@ domain: collective-intelligence
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/ELwCkHt1U9VBpUFJ7qGoVMatEwLSr1HYj9q9t8JQ1Nc
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/D9pGGmG2rCJ5BXzbDoct7EcQL6F6A57azqYHdpWJL9C
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/5qEyKCVyJZMFZSb3yxh6rQjqDYxASiLW7vFuuUTCYnb
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/BqMrwwZYdpbXNsfpcxxG2DyiQ7uuKB69PznPWZ33GrZ
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/HXohDRKtDcXNKnWysjyjK8S5SvBe76J5o4NdcF4jj96
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/BgHv9GutbnsXZLZQHqPL8BbGWwtcaRDWx82aeRMNmJb
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/iPzWdGBZiHMT5YhR2m4WtTNbFW3KgExH2dRAsgWydPf
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/9jAnAupCdPQCFvuAMr5ZkmxDdEKqsneurgvUnx7Az9z
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/8AEsxyN8jhth5WQZHjU9kS3JcRHaUmpck7qZgpv2v4w
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/BMZbX7z2zgLuq266yskeHF5BFZoaX9j3tvsZfVQ7RUY
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/7KkoRGyvzhvzKjxuPHjyxg77a52MeP6axyx7aywpGbd
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/4ztwWkz9TD5Ni9Ze6XEEj6qrPBhzdTQMfpXzZ6A8bGz
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/9BMRY1HBe61MJoKEd9AAW5iNQyws2vGK6vuL49oR3Az
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/G95shxDXSSTcgi2DTJ2h79JCefVNQPm8dFeDzx7qZ2k
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/Hda19mrjPxotZnnQfpAhJtxWvfC6JCXbMquohThgsd5
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/16ZyAyNumkJoU9GATreUzBDzfS6rmEpZnUcQTcdfJiD
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/EXehk1u3qUJZSxJ4X3nHsiTocRhzwq3eQAa6WKxeJ8X
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/xU6tQoDh3Py4MfAY3YPwKnNLt7zYDiNHv8nA1qKnxVM
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/BU8kQ7ECq8CJ9BHUZfYsjHFKPMGsF6oJn5d6b1tArdw
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/5c2XSWQ9rVPge2Umoz1yenZcAwRaQS5bC4i4w87B1WU
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domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/7AbivixQZTrgnqpmyxW2j1dd4Jyy15K3T2T7MEgfg8D
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/J57DcV2yQGiDpSetQHui6Piwjwsbet2ozXVPG77kTvT
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domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/yTiRuoXWQVdVgbUJBU6J3FF1Sxnzy7FW7osqkkfMK6G
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/5TRuK9TLZ9bUPtp6od6pLKN6GxbQMByaBwVSCArNaS1
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/AKMnVnSC8DzoZJktErtzR2QNt1ESoN8i2DdHPYuQTMG
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/GugKjNpirFNaaRkEStRKGJPnutptsnTA3XuCJ8nwaVt
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/8cnQAxS3WQXhD2eAjKSJ6wmBwaJskRZFYByMPKEhD1o
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/eNPP3Tm4AAyDwq9N4BwJwBzFD14KXDSVY6bhMRaBuFt
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/AuNNyR4oU2zkG1sYBzJ3DJmyDzMKSmSW2yASorWenuC
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/EmPUGgv2Utzuu2vgSu6GcTRAtJMox5vJeZKi95cBgfJ
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/2LKqzegdHrcrrRCHSuTS2fMjjJuZDfzuRKMnzPhzeD4
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domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/53EDms4zPkp4khbwBT3eXWhMALiMwssg7f5zckq22tH
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/evGundfgMRZWCYsGF7GMKcgh6LjxDTFrvWRAhxiQS8h
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domain: internet-finance
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@ -8,7 +8,6 @@ domain: ai-alignment
secondary_domains: [collective-intelligence, mechanisms]
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priority: high
tags: [social-choice, representative-alignment, arrows-theorem, privilege-graphs, learning-theory, generalization]
flagged_for_rio: ["Social choice mechanisms as prediction market analogues — preference aggregation parallels"]

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/8SwPfzKhaZ2SQfgfJYfeVRTXALZs2qyFj7kX1dEkd29
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/B82Dw1W6cfngH7BRukAyKXvXzP4T2cDsxwKYfxCftoC
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/A19yLRVqxvUf4cTDm6mKNKadasd7YSYDrzk6AYEyubA
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domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/Gp3ANMRTdGLPNeMGFUrzVFaodouwJSEXHbg5rFUi9ro
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domain: internet-finance
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tags: [futardio, metadao, futarchy, solana, governance]
event_type: proposal
---

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@ -8,7 +8,6 @@ domain: ai-alignment
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last_attempted: 2026-03-11
priority: medium
tags: [democratic-AI, governance, framework, levels, pluralistic-alignment, ICML-2025]
processed_by: theseus

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/HiNWH2uKxjrmqZjn9mr8vWu5ytp2Nsz6qLsHWa5XQ1V
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/6LcxhHS3JvDtbS1GoQS18EgH5Pzf7AnqQpR7D4HxmWp
date: 2024-11-13
domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/ApywwMrE9vkWiatZwQVU6wdvNsHrYZkhegNCV5XDZ8y
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/B4zpF4iHeF91qq8Szb9aD6pW1DrwSy6djD4QPWJQn3d
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domain: internet-finance
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/zN9Uft1zEsh9h7Wspeg5bTNirBBvtBTaJ6i5KcEnbAb
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domain: internet-finance
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/2QUxbiMkDtoKxY2u6kXuevfMsqKGtHNxMFYHVWbqRK1
date: 2024-11-25
domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/FXkyJpCVADXS6YZcz1Kppax8Kgih23t6yvze7ehELJp
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domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/4gaJ8bi1gpNEx6xSSsepjVBM6GXqTDfLbiUbzXbARHW
date: 2024-12-02
domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/GBQZvZAeW8xUuVV5a9FJHSyttzY5fPGuvkwLTpWLbw6
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domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/DhY2YrMde6BxiqCrqUieoKt5TYzRwf2KYE3J2RQyQc7
date: 2024-12-05
domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/C2Up9wYYJM1A94fgJz17e3Xsr8jft2qYMwrR6s4ckaK
date: 2024-12-16
domain: internet-finance
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/A74H61YqwsbwRczuErbUyh9kqG1A7ZbiE1W5hWZmT9f
date: 2024-12-19
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/5V5MFN69yB2w82QWcWXyW84L3x881w5TanLpLnKAKyK
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format: data
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event_type: proposal
---

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@ -8,7 +8,6 @@ domain: ai-alignment
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format: report
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priority: high
tags: [democratic-alignment, evaluation, pluralistic, global-dialogues, weval, samiksha, empirical-results]
processed_by: theseus

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@ -8,7 +8,6 @@ domain: ai-alignment
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priority: medium
tags: [homogenization, LLM, creative-diversity, empirical, scale-effects]
flagged_for_clay: ["direct implications for AI in creative industries"]

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@ -8,7 +8,6 @@ domain: entertainment
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last_attempted: 2026-03-11
priority: medium
tags: [hollywood, genai-adoption, studio-strategy, production-costs, ip-liability]
processed_by: clay

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/CJW4iZPT14sVNzoc4Yibx1LbnY12sA75gZCP9HZk11U
date: 2025-01-13
domain: internet-finance
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tags: [futardio, metadao, futarchy, solana, governance]
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---

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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/B8WLuXqoBb3hRD9XBCNuSqxDqCXCixqRdKR4pVFGzNP
date: 2025-01-14
domain: internet-finance
format: data
status: entity-data
status: unprocessed
tags: [futardio, metadao, futarchy, solana, governance]
event_type: proposal
---

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