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Teleo Agents
c5083fb896 astra: extract from 2026-01-00-payloadspace-vast-haven1-delay-2027.md
- Source: inbox/archive/2026-01-00-payloadspace-vast-haven1-delay-2027.md
- Domain: space-development
- Extracted by: headless extraction cron (worker 4)

Pentagon-Agent: Astra <HEADLESS>
2026-03-11 13:58:57 +00:00
Teleo Agents
81384819e6 auto: re-queue futardio entity-data sources for dual extraction (cron skip now disabled)
Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
2026-03-11 13:56:55 +00:00
Teleo Agents
aa0243699b auto: re-queue 10 futardio sources (entity extraction test, cron skip disabled)
Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
2026-03-11 13:55:30 +00:00
Teleo Agents
6d946d34f3 auto: mark 10 futardio sources as entity-data (skip extraction)
Pentagon-Agent: Leo <HEADLESS>
2026-03-11 13:55:02 +00:00
Teleo Agents
1eb2844d20 auto: re-queue 10 futardio sources for entity extraction test (with file writer)
Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
2026-03-11 13:54:19 +00:00
Teleo Agents
6cee2eb84c auto: mark 9 futardio sources as entity-data (skip extraction)
Pentagon-Agent: Leo <HEADLESS>
2026-03-11 13:50:01 +00:00
Teleo Agents
ac068486dc auto: re-queue 10 futardio sources for dual extraction test
Testing entity extraction capability on mix of proposals (5) and launches (5).
Sources: burn-993, FaaS, token-split, 3-week-vesting, launchpad release,
mycorealms, loyal, solomon, ranger, hurupay.

Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
2026-03-11 13:45:16 +00:00
28c4cbba63 astra: extract claims from 2025-11-13-blueorigin-new-glenn-escapade-booster-landing (#533)
Co-authored-by: Astra <astra@agents.livingip.xyz>
Co-committed-by: Astra <astra@agents.livingip.xyz>
2026-03-11 13:41:50 +00:00
48bc3682ef theseus: extract claims from 2026-01-00-mixdpo-preference-strength-pluralistic (#482)
Some checks are pending
Sync Graph Data to teleo-app / sync (push) Waiting to run
Co-authored-by: Theseus <theseus@agents.livingip.xyz>
Co-committed-by: Theseus <theseus@agents.livingip.xyz>
2026-03-11 13:33:17 +00:00
99c52aa624 astra: extract claims from 2026-03-10-china-rocket-catching-ship-ling-hang-zhe (#538)
Co-authored-by: m3taversal <m3taversal@gmail.com>
Co-committed-by: m3taversal <m3taversal@gmail.com>
2026-03-11 13:29:42 +00:00
Teleo Agents
1c97890c09 auto: add last_attempted date to 71 null-result sources
Enables future re-extraction when KB has grown in relevant domains.
Sources can be re-queued if last_attempted is stale relative to domain growth.

Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
2026-03-11 13:21:55 +00:00
Teleo Agents
3678e054a3 auto: reclassify 40 futardio null-results as entity-data
These are Futardio launch/proposal data pages, not failed claim extractions.
Entity data pipeline will handle these separately.

Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
2026-03-11 13:21:40 +00:00
Leo
a3a2d84897 rio: ecosystem entity pages — Meteora, Jupiter, Drift, Raydium, Nallok, Theia Research (#548) 2026-03-11 13:11:20 +00:00
Teleo Agents
45ddb9ce99 auto: mark 1 futardio sources as entity-data (skip extraction)
Pentagon-Agent: Leo <HEADLESS>
2026-03-11 12:50:01 +00:00
cf73cd9c27 ingestion: 1 futardio events — 20260311-1245 (#547)
Co-authored-by: m3taversal <m3taversal@gmail.com>
Co-committed-by: m3taversal <m3taversal@gmail.com>
2026-03-11 12:47:19 +00:00
c855d01bf2 astra: extract claims from 2025-12-00-rocketlab-neutron-2026-debut (#539)
Co-authored-by: Astra <astra@agents.livingip.xyz>
Co-committed-by: Astra <astra@agents.livingip.xyz>
2026-03-11 12:39:16 +00:00
bda97bce2a astra: extract claims from 2026-03-00-spacenews-china-reusable-lm10-debut-h1-2026 (#543)
Co-authored-by: Astra <astra@agents.livingip.xyz>
Co-committed-by: Astra <astra@agents.livingip.xyz>
2026-03-11 12:37:15 +00:00
48a727b86e astra: extract claims from 2026-03-00-astroscale-active-debris-removal-missions (#544)
Co-authored-by: Astra <astra@agents.livingip.xyz>
Co-committed-by: Astra <astra@agents.livingip.xyz>
2026-03-11 12:35:14 +00:00
688de0b5de astra: extract claims from 2026-02-00-blueorigin-ng3-first-booster-reuse (#546)
Co-authored-by: Astra <astra@agents.livingip.xyz>
Co-committed-by: Astra <astra@agents.livingip.xyz>
2026-03-11 12:33:09 +00:00
48e0afe771 Merge pull request 'rio: extract claims from 2026-03-09-bharathshettyy-x-archive' (#125) from extract/2026-03-09-bharathshettyy-x-archive into main 2026-03-11 12:30:44 +00:00
c164d9521d astra: extract claims from 2026-01-00-nasaspaceflight-starship-foundations-2026 (#542)
Co-authored-by: Astra <astra@agents.livingip.xyz>
Co-committed-by: Astra <astra@agents.livingip.xyz>
2026-03-11 12:27:07 +00:00
Teleo Agents
28b7fdf5e0 rio: extract claims from 2026-03-09-bharathshettyy-x-archive.md
- Source: inbox/archive/2026-03-09-bharathshettyy-x-archive.md
- Domain: internet-finance
- Extracted by: headless extraction cron

Pentagon-Agent: Rio <HEADLESS>
2026-03-10 19:40:47 +00:00
Teleo Agents
50d231241a rio: extract claims from 2026-02-26-citadel-securities-contra-citrini-rebuttal.md
- Source: inbox/archive/2026-02-26-citadel-securities-contra-citrini-rebuttal.md
- Domain: internet-finance
- Extracted by: headless extraction cron

Pentagon-Agent: Rio <HEADLESS>
2026-03-10 19:40:29 +00:00
241 changed files with 1252 additions and 223 deletions

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@ -0,0 +1,39 @@
---
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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---
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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@ -1,41 +0,0 @@
---
type: claim
domain: space-development
description: "As of early 2026, every major commercial station program has slipped — Haven-1 from May 2026 to Q1 2027, Starlab from ~2027 to 2028-2029, Orbital Reef from ~2027 to 2030 — with zero programs ahead of schedule, suggesting funding, technology readiness, and regulatory factors create systemic friction"
confidence: likely
source: "Astra extraction from Payload Space/Aviation Week/Universe Magazine aggregated reporting, Jan 2026; cross-validated against NASA CLD program records"
created: 2026-03-11
depends_on:
- "commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030"
challenged_by: []
---
# all four commercial station programs have slipped their original timelines as of early 2026 indicating structural rather than company-specific barriers to the ISS-to-commercial transition
As of early 2026, every major commercial space station program has slipped from its original target timeline. Not one is ahead of schedule:
- **Vast Haven-1**: slipped from May 2026 to no earlier than Q1 2027. The module itself is completed and in cleanroom integration — the delay is not hardware. Launch vehicle availability, regulatory approval, and integration scheduling are the likely culprits.
- **Starlab** (Voyager/Airbus/Lockheed): targeting 2028-2029, having originally projected an earlier date.
- **Orbital Reef** (Blue Origin/Sierra Space/Boeing): Preliminary Design Review has been repeatedly delayed; now targeting ~2030.
- **Axiom Space**: closest to schedule — PPTM is targeting 2026 ISS attachment — but Axiom had a September 2024 cash crisis and down round, underscoring that even the leader is fragile.
The universal nature of slippage is the signal. When one program slips, it's an execution problem. When all four slip, it's a structural problem. The ISS-to-commercial transition is encountering friction that is not reducible to any single company's management decisions. The most likely structural factors:
1. **Funding cycles**: Commercial station capex requires sustained multi-year investment at a scale most private investors won't commit without government anchor contracts. NASA's Phase 2 CLD awards ($1-1.5B over 2026-2031) help but don't fully de-risk construction financing.
2. **Technology readiness**: Closed-loop life support, long-duration microgravity operations, and station autonomy are still maturing. Axiom's operational experience via ISS PAMs provides a runway others lack.
3. **Regulatory and range coordination**: Launch approvals, debris mitigation plans, and FCC spectrum coordination introduce timeline uncertainty that hardware schedules don't account for.
4. **Workforce and supply chain**: The same aerospace supply chain serves launch vehicles, satellites, and stations simultaneously — scarcity in specialized components cascades across programs.
NASA issued new Private Astronaut Mission awards to both Vast and Axiom on January 30, 2026 — a signal that the agency is doubling down on the commercial transition despite slippage, not retreating from it. This reduces gap risk at the margin but does not eliminate it.
The systemic delay pattern increases the probability of a genuine ISS gap: a window after ISS deorbit (January 2031) with no permanent crewed orbital platform. That would be the first break in continuous human orbital presence since November 2000. Even a 6-12 month gap would represent a significant regression in human spaceflight capability and would strand years of biological research that depends on continuous microgravity culture.
---
Relevant Notes:
- [[commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030]] — this claim updates the competitive picture: the race is real but harder than projected
- [[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]] — the transition is happening but slower than the buyer-supplier model assumed
- [[space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly]] — regulatory friction may be one of the structural delay drivers
Topics:
- [[_map]]

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@ -13,7 +13,7 @@ challenged_by: "Timeline slippage threatens a gap in continuous human orbital pr
The ISS is scheduled for controlled deorbiting in January 2031 after a final crew retrieval in 2030, with SpaceX building the US Deorbit Vehicle under an $843 million contract. Four commercial station programs are racing to fill the gap:
1. **Axiom Space** — furthest along operationally with 4 completed private astronaut missions. PPTM (Payload, Power, and Thermal Module) launches first, attaches to ISS, and can separate for free-flying by 2028. Total funding exceeds $605 million including a $350 million raise in February 2026.
2. **Vast** — Haven-1 targeting Q1 2027 on Falcon 9 (slipped from May 2026; module completed and in cleanroom integration as of early 2026). Would be America's first commercial space station. Haven-2 by 2032 with artificial gravity. Vast received a new NASA Private Astronaut Mission award Jan 30, 2026.
2. **Vast** — Haven-1 targeting Q1 2027 on Falcon 9, would be America's first commercial space station. Haven-2 by 2032 with artificial gravity.
3. **Starlab** (Voyager Space/Airbus) — targeting no earlier than 2028 via Starship.
4. **Orbital Reef** (Blue Origin/Sierra Space) — targeting 2030, Preliminary Design Review repeatedly delayed.
@ -23,6 +23,21 @@ The launch cost connection transforms the economics entirely. ISS cost approxima
The attractor state is a marketplace of orbital platforms serving manufacturing, research, tourism, and defense customers — not a single government monument. This transition from state-owned to commercially operated orbital infrastructure directly extends [[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]], with NASA becoming a customer rather than an operator.
### Additional Evidence (challenge)
*Source: [[2026-01-00-payloadspace-vast-haven1-delay-2027]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
**Timeline Reality Check (Jan 2026)**: The "racing to fill by 2030" framing requires significant qualification. As of early 2026, the competitive landscape shows:
- Vast Haven-1: Q1 2027 (slipped from May 2026 — 9-month delay)
- Axiom Hab One: 2026 ISS attachment (not a freeflying station, ISS-dependent)
- Starlab: 2028-2029 (delayed from earlier projections)
- Orbital Reef: 2030 (delayed from earlier projections)
The systemic nature of delays across all four programs—affecting companies with different technical approaches, funding sources, and management teams—indicates the 2030 target was overly optimistic. More critically, with ISS retirement scheduled for 2031, the margin for error has narrowed substantially. If any program experiences additional delays comparable to Vast's 9-month slip, the ISS-to-commercial transition could fail, creating a gap in continuous human LEO presence for the first time since 2000.
NASA's January 2026 Private Astronaut Mission (PAM) awards to Vast and Axiom indicate the agency recognizes the timeline risk and is attempting to provide additional support, but this reactive funding does not address underlying technology readiness or regulatory certification challenges. The gap between MIT Technology Review naming commercial space stations a "10 Breakthrough Technologies of 2026" while all programs slip behind schedule highlights the distinction between technological promise and operational reality.
---
Relevant Notes:

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@ -0,0 +1,48 @@
---
type: claim
domain: space-development
description: "All four major commercial station programs delayed by 1-4 years as of early 2026, suggesting funding regulatory or technology readiness barriers beyond individual company control"
confidence: likely
source: "Payload Space / Aviation Week / Universe Magazine aggregated reporting, Jan 2026"
created: 2026-03-11
---
# Commercial space station timeline slippage is systemic across all programs indicating structural challenges not company-specific execution failures
As of early 2026, every major commercial space station program has experienced significant delays from original timelines:
- **Vast Haven-1**: Slipped from May 2026 to Q1 2027 (9-month delay)
- **Axiom Space Hab One**: Still on track for 2026 ISS attachment, but this is a module attachment not a freeflying station
- **Starlab**: 2028-2029 (delayed from earlier projections)
- **Orbital Reef**: 2030 (delayed from earlier projections)
The universal nature of these delays—affecting companies with different technical approaches, funding sources, and management teams—suggests systemic barriers rather than company-specific execution problems. Potential structural issues include:
1. **Funding gaps**: Commercial station development requires sustained capital over 3-5 year timelines
2. **Technology readiness**: Life support, power, and thermal systems for independent stations are more complex than ISS-attached modules
3. **Regulatory uncertainty**: NASA certification requirements and safety standards still evolving
4. **Supply chain constraints**: Post-pandemic aerospace supply chains still recovering
The fact that MIT Technology Review named commercial space stations a "10 Breakthrough Technologies of 2026" while all programs are behind schedule highlights the gap between technological promise and operational reality.
NASA's January 2026 Private Astronaut Mission (PAM) awards to both Vast and Axiom suggest the agency recognizes the funding challenge and is attempting to bridge the gap, but this reactive support confirms rather than contradicts the systemic nature of the problem.
## Evidence
- Vast Haven-1 delayed from May 2026 to Q1 2027 despite module completion and cleanroom integration status
- Axiom Hab One remains on track for 2026 but is ISS-dependent, not a standalone station
- Starlab and Orbital Reef both targeting late 2020s, 2-4 years later than initial projections
- NASA PAM awards (Jan 30, 2026) to Vast and Axiom indicate agency recognition of funding challenges
## Challenges
Counter-argument: Delays could reflect normal aerospace development timelines rather than systemic barriers. First-of-kind systems typically experience schedule slippage. However, the *universal* nature of delays across different technical approaches and funding models suggests factors beyond normal development risk.
---
Relevant Notes:
- [[commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030]]
- [[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]]
Topics:
- [[domains/space-development/_map]]

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---
type: claim
domain: space-development
description: "With ISS retirement in 2031 and all commercial stations delayed, compounding slippage could create a window with no permanent human LEO presence for the first time in 26 years"
confidence: experimental
source: "Payload Space / Aviation Week / Universe Magazine aggregated reporting, Jan 2026; ISS retirement timeline"
created: 2026-03-11
---
# ISS retirement gap risk increases with commercial station delays threatening first loss of continuous human orbital presence since 2000
The ISS is scheduled for retirement in 2031, with potential extension only if no commercial replacement is ready. As of early 2026, the commercial station timeline shows:
- **Vast Haven-1**: Q1 2027 earliest (already slipped 9 months)
- **Axiom Hab One**: 2026 ISS attachment (depends on ISS remaining operational)
- **Starlab**: 2028-2029
- **Orbital Reef**: 2030
If Haven-1 experiences another 9-12 month delay (matching its first slip), it pushes to late 2027 or early 2028. If Starlab and Orbital Reef slip proportionally, they could miss the 2031 window entirely. Axiom's module is ISS-dependent, so it cannot serve as a backup if ISS retires on schedule.
This creates a scenario where:
1. ISS retires in 2031 as planned
2. No independent commercial station is fully operational and certified for continuous habitation
3. Human presence in LEO becomes intermittent (short-duration missions only) or ceases entirely
Such a gap would represent a significant regression in space capability—the first loss of continuous human orbital presence since November 2000 when ISS permanent occupancy began. The geopolitical and scientific implications would be substantial:
- **Scientific continuity**: Long-duration microgravity research programs interrupted
- **Operational capability**: Loss of institutional knowledge and crew experience
- **Strategic positioning**: China's Tiangong station would become the only permanent human presence in LEO
- **Commercial momentum**: Investment and development timelines disrupted
The systemic nature of delays across all programs (see [[commercial space station timeline slippage is systemic across all programs indicating structural challenges not company-specific execution failures]]) suggests this is not a low-probability tail risk but a plausible central scenario requiring active mitigation.
NASA's PAM awards in January 2026 may be an attempt to accelerate timelines, but funding alone does not solve technology readiness or regulatory certification challenges.
## Evidence
- ISS retirement scheduled for 2031 (may extend only if no replacement ready)
- Vast Haven-1 slipped 9 months (May 2026 → Q1 2027)
- All commercial stations behind original schedules as of early 2026
- Axiom Hab One is ISS-dependent, cannot serve as standalone backup
- Continuous human presence in LEO maintained since November 2000
## Challenges
ISS retirement could be extended beyond 2031 if commercial stations are not ready, reducing gap risk. However, ISS extension requires sustained funding and structural integrity certification—both uncertain given the station's age and NASA's budget constraints. Relying on extension as the primary mitigation strategy is itself a risk.
---
Relevant Notes:
- [[commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030]]
- [[commercial space station timeline slippage is systemic across all programs indicating structural challenges not company-specific execution failures]]
- [[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]]
Topics:
- [[domains/space-development/_map]]

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@ -0,0 +1,58 @@
---
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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@ -8,6 +8,7 @@ domain: health
secondary_domains: []
format: paper
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priority: high
tags: [medicare-advantage, medicare-history, political-economy, risk-adjustment, payment-formula, hmo]
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@ -8,6 +8,7 @@ domain: ai-alignment
secondary_domains: [collective-intelligence, critical-systems]
format: paper
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priority: high
tags: [active-inference, epistemic-value, information-gain, exploration-exploitation, expected-free-energy, curiosity, epistemic-foraging]
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@ -7,6 +7,7 @@ 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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@ -8,6 +8,7 @@ domain: critical-systems
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tags: [active-inference, multi-scale, markov-blankets, cognitive-boundaries, free-energy-principle, internalism-externalism]
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@ -7,6 +7,7 @@ date: 2020-01-01
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -7,6 +7,7 @@ date: 2022-01-01
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/9RisXkQCFLt7NA29vt5aWatcnU8SkyBgS95HxXhwXhW
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/AkLsnieYpCU2UsSqUNrbMrQNi9bvdnjxx75mZbJns9z
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/GPT8dFcpHfssMuULYKT9qERPY3heMoxwZHxgKgPw3TY
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@ -7,6 +7,7 @@ date: 2024-01-01
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -8,6 +8,7 @@ domain: collective-intelligence
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/9ABv3Phb44BNF4VFteSi9qcWEyABdnRqkorNuNtzdh2
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@ -8,6 +8,7 @@ domain: health
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/J7dWFgSSuMg3BNZBAKYp3AD5D2yuaaLUmyKqvxBZgHh
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/Dn638yPirR3e2UNNECpLNJApDhxsjhJTAv9uEd9LBVV
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@ -8,6 +8,7 @@ domain: collective-intelligence
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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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@ -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/DgXa6gy7nAFFWe8VDkiReQYhqe1JSYQCJWUBV8Mm6aM
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/G95shxDXSSTcgi2DTJ2h79JCefVNQPm8dFeDzx7qZ2k
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/Hda19mrjPxotZnnQfpAhJtxWvfC6JCXbMquohThgsd5
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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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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/BU8kQ7ECq8CJ9BHUZfYsjHFKPMGsF6oJn5d6b1tArdw
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/5c2XSWQ9rVPge2Umoz1yenZcAwRaQS5bC4i4w87B1WU
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/7AbivixQZTrgnqpmyxW2j1dd4Jyy15K3T2T7MEgfg8D
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/J57DcV2yQGiDpSetQHui6Piwjwsbet2ozXVPG77kTvT
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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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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/GugKjNpirFNaaRkEStRKGJPnutptsnTA3XuCJ8nwaVt
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/8cnQAxS3WQXhD2eAjKSJ6wmBwaJskRZFYByMPKEhD1o
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/EmPUGgv2Utzuu2vgSu6GcTRAtJMox5vJeZKi95cBgfJ
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/2LKqzegdHrcrrRCHSuTS2fMjjJuZDfzuRKMnzPhzeD4
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/53EDms4zPkp4khbwBT3eXWhMALiMwssg7f5zckq22tH
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/evGundfgMRZWCYsGF7GMKcgh6LjxDTFrvWRAhxiQS8h
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/8SwPfzKhaZ2SQfgfJYfeVRTXALZs2qyFj7kX1dEkd29
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/B82Dw1W6cfngH7BRukAyKXvXzP4T2cDsxwKYfxCftoC
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/A19yLRVqxvUf4cTDm6mKNKadasd7YSYDrzk6AYEyubA
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/Gp3ANMRTdGLPNeMGFUrzVFaodouwJSEXHbg5rFUi9ro
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@ -8,6 +8,7 @@ domain: ai-alignment
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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
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/ApywwMrE9vkWiatZwQVU6wdvNsHrYZkhegNCV5XDZ8y
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/B4zpF4iHeF91qq8Szb9aD6pW1DrwSy6djD4QPWJQn3d
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/zN9Uft1zEsh9h7Wspeg5bTNirBBvtBTaJ6i5KcEnbAb
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/2QUxbiMkDtoKxY2u6kXuevfMsqKGtHNxMFYHVWbqRK1
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/FXkyJpCVADXS6YZcz1Kppax8Kgih23t6yvze7ehELJp
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/4gaJ8bi1gpNEx6xSSsepjVBM6GXqTDfLbiUbzXbARHW
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/GBQZvZAeW8xUuVV5a9FJHSyttzY5fPGuvkwLTpWLbw6
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/DhY2YrMde6BxiqCrqUieoKt5TYzRwf2KYE3J2RQyQc7
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/C2Up9wYYJM1A94fgJz17e3Xsr8jft2qYMwrR6s4ckaK
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/A74H61YqwsbwRczuErbUyh9kqG1A7ZbiE1W5hWZmT9f
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/5V5MFN69yB2w82QWcWXyW84L3x881w5TanLpLnKAKyK
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -8,6 +8,7 @@ domain: ai-alignment
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@ -8,6 +8,7 @@ domain: entertainment
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/CJW4iZPT14sVNzoc4Yibx1LbnY12sA75gZCP9HZk11U
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/B8WLuXqoBb3hRD9XBCNuSqxDqCXCixqRdKR4pVFGzNP
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/3tApJXw2REQAZZyehiaAnQSdauVNviNbXsuS4inn8PA
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@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/CBhieBvzo5miQBrdaM7vALpgNLt4Q5XYCDfNLaE2wXJ
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@ -8,6 +8,7 @@ domain: collective-intelligence
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processed_by: theseus

View file

@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/7FY4dgYDX8xxwCczrgstUwuNEC9NMV1DWXz31rMnGNT
date: 2025-02-03
domain: internet-finance
format: data
status: null-result
status: unprocessed
tags: [futardio, metadao, futarchy, solana, governance]
event_type: proposal
processed_by: rio

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