Merge branch 'main' into extract/2026-02-27-karpathy-8-agent-research-org
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10 changed files with 116 additions and 10 deletions
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@ -6,9 +6,14 @@ url: https://greattransitionstories.org/patterns-of-change/humanity-as-a-superor
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date: 2020-01-01
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domain: ai-alignment
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format: essay
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status: unprocessed
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status: null-result
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tags: [superorganism, collective-intelligence, great-transition, emergence, systems-theory]
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linked_set: superorganism-sources-mar2026
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processed_by: theseus
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processed_date: 2026-03-10
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enrichments_applied: ["human-civilization-passes-falsifiable-superorganism-criteria-because-individuals-cannot-survive-apart-from-society-and-occupations-function-as-role-specific-cellular-algorithms.md"]
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Source is philosophical/interpretive essay rather than empirical research. The core claims about humanity as superorganism are already represented in existing knowledge base claims. This source provides additional framing evidence from Bruce Lipton's biological work that extends the existing superorganism claim - specifically the 50 trillion cell analogy and the pattern-of-evolution observation. No new novel claims identified that aren't already covered by existing ai-alignment domain claims about superorganism properties."
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---
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# Humanity as a Superorganism
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@ -105,3 +110,11 @@ In “The Evolution of the Butterfly,” Dr. Bruce Lipton narrates the process o
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[Privacy Policy](http://greattransitionstories.org/privacy-policy/) | Copyleft ©, 2012 - 2021
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[Scroll up](https://greattransitionstories.org/patterns-of-change/humanity-as-a-superorganism/#)
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## Key Facts
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- Bruce Lipton describes human body as 'community of 50 trillion specialized amoeba-like cells'
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- Human evolution progressed: individuals → hunter-gatherer communities → tribes → city-states → nations
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- Lipton describes humanity as 'a multicellular superorganism comprised of seven billion human cells'
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- Evolution follows 'repetitive pattern of organisms evolving into communities of organisms, which then evolve into the creation of the next higher level of organisms'
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- Source is from Great Transition Stories, published 2020-01-01
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@ -7,9 +7,13 @@ date: 2024-01-00
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domain: ai-alignment
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secondary_domains: [collective-intelligence, critical-systems]
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format: paper
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status: unprocessed
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status: null-result
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priority: high
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tags: [active-inference, free-energy-principle, multi-agent, collective-intelligence, shared-intelligence, ecosystems-of-intelligence]
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processed_by: theseus
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Three novel claims extracted from Friston et al. 2024 paper. These provide first-principles theoretical grounding for the collective intelligence architecture: (1) shared generative models enable coordination without negotiation, (2) curiosity/uncertainty resolution is the fundamental drive vs reward maximization, (3) message passing on factor graphs is the operational substrate. No existing claims duplicate these specific theoretical propositions — they extend beyond current claims about coordination protocols and multi-agent collaboration by providing the active inference foundation."
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---
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## Content
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@ -62,3 +66,14 @@ Intelligence is understood as the capacity to accumulate evidence for a generati
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PRIMARY CONNECTION: "biological systems minimize free energy to maintain their states and resist entropic decay"
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WHY ARCHIVED: The definitive paper connecting active inference to multi-agent AI ecosystem design — provides first-principles justification for our entire collective architecture
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EXTRACTION HINT: Focus on the operational design principles: shared generative models, message passing, curiosity-driven coordination. These map directly to our claim graph, wiki links, and uncertainty-directed research.
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## Key Facts
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- Paper published in Collective Intelligence, Vol 3(1), 2024
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- Available on arXiv: 2212.01354
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- Authors include Karl J. Friston, Maxwell JD Ramstead, and 17 others
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- Active inference is presented as a "physics of intelligence"
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- Intelligence = capacity to accumulate evidence for a generative model (self-evidencing)
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- Self-evidencing = maximizing Bayesian model evidence via belief updating
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- Operationalizes via variational message passing or belief propagation on factor graph
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- Proposes shared hyper-spatial modeling language for belief convergence
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@ -7,9 +7,13 @@ date: 2024-03-28
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domain: collective-intelligence
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secondary_domains: [critical-systems, ai-alignment]
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format: paper
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status: unprocessed
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status: null-result
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priority: medium
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tags: [collective-intelligence, multi-scale, diverse-intelligence, biology, morphogenesis, competency-architecture]
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processed_by: theseus
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Extracted one primary claim about competency at every level principle from McMillen & Levin 2024. The paper provides strong biological grounding for the nested architecture in our knowledge base. No existing claims in collective-intelligence domain to check against. Key insight: higher levels build on rather than replace lower-level competency — this is the core principle that distinguishes this claim from generic emergence arguments."
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---
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## Content
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@ -50,3 +54,12 @@ Published in Communications Biology, March 2024.
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PRIMARY CONNECTION: "emergence is the fundamental pattern of intelligence from ant colonies to brains to civilizations"
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WHY ARCHIVED: Biological grounding for multi-scale collective intelligence — validates our nested architecture and the principle that each level of the hierarchy should be independently competent
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EXTRACTION HINT: Focus on the "competency at every level" principle and how it applies to our agent hierarchy
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## Key Facts
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- Published in Communications Biology, March 2024
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- Authors: Patrick McMillen and Michael Levin
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- Biology uses multiscale architecture: molecular networks, cells, tissues, organs, bodies, swarms
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- Each level solves problems in distinct problem spaces: physiological, morphological, behavioral
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- Intelligence is not restricted to brains — cellular collectives exhibit decision-making
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- Field of 'diverse intelligence' provides biological grounding for collective AI intelligence
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@ -7,9 +7,14 @@ date: 2025-12-01
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domain: entertainment
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secondary_domains: []
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format: report
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status: unprocessed
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status: null-result
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priority: medium
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tags: [ai-consumer-products, video-generation, retention, chatgpt, sora, google-veo]
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processed_by: clay
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processed_date: 2026-03-10
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enrichments_applied: ["gen-ai-adoption-in-entertainment-will-be-gated-by-consumer-acceptance-not-technology-capability.md"]
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "The Sora 8% D30 retention is the critical data point from this source. It directly confirms the consumer acceptance binding constraint claim. All other data points are factual/verifiable and don't constitute new claims. The 'white space for founders' insight is interpretive but too vague to extract as a standalone claim — it's a strategic observation, not a specific arguable proposition."
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---
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## Content
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@ -53,3 +58,13 @@ a16z's annual consumer AI landscape report documents adoption patterns across ma
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PRIMARY CONNECTION: `GenAI adoption in entertainment will be gated by consumer acceptance not technology capability`
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WHY ARCHIVED: Sora's 8% D30 retention is quantitative evidence that even among early adopters, AI video creation doesn't form habits. This validates the consumer acceptance binding constraint claim and specifically situates it as a demand/use-case problem, not a quality problem.
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EXTRACTION HINT: Focus on Sora retention as a specific, quantifiable evidence point. Distinguish this from passive consumption of AI content — this is about consumer CREATION using AI tools, which is a different behavior than acceptance of AI-generated content.
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## Key Facts
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- ChatGPT: 800-900 million weekly active users, 36% daily-to-monthly ratio
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- Gemini: 21% daily-to-monthly ratio, 155% YoY desktop user growth
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- Gemini Pro subscriptions: 300% YoY growth vs ChatGPT 155%
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- Fewer than 10% of ChatGPT weekly users visited another major model provider (winner-take-most dynamics)
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- Google Nano Banana: 200 million images in first week, 10 million new users
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- Veo 3: First model combining visual AND audio generation in one model
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- Sora standalone app: 12 million downloads, below 8% day-30 retention (benchmark for top apps is 30%+)
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@ -8,9 +8,13 @@ date: 2026-02-24
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domain: ai-alignment
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secondary_domains: [teleological-economics]
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format: tweet
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status: unprocessed
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status: null-result
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priority: medium
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tags: [cli, agents, terminal, developer-tools, legacy-systems]
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processed_by: theseus
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Extracted single novel claim about CLI structural advantage for AI agents. No existing claims in ai-alignment domain address CLI vs GUI interface affordances for agents. The claim is specific enough to disagree with and cites concrete examples (Claude, Polymarket CLI, Github CLI). Confidence set to experimental due to single-source basis. Key facts preserved: Karpathy's examples of CLI capabilities (install, build dashboards, navigate repos, see issues/PRs/discussions/code)."
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---
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## Content
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@ -28,3 +32,11 @@ E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for a
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**Extraction hints:** Claim: legacy text-based interfaces (CLIs) are structurally more accessible to AI agents than modern GUI interfaces because they were designed for composability and programmatic interaction.
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**Context:** Karpathy explicitly mentions Claude and Polymarket CLI — connecting AI agents with prediction markets through terminal tools. Relevant to the Teleo stack.
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## Key Facts
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- Andrej Karpathy is @karpathy with twitter_id 33836629
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- Tweet date: 2026-02-24
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- Tweet received 11.7K likes
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- Karpathy explicitly mentions Claude and Polymarket CLI as examples
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- CLI capabilities listed: install tools, build dashboards/interfaces/logic, navigate repos, see issues/PRs/discussions/code
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@ -6,7 +6,7 @@ url: https://x.com/mycorealms
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date: 2026-03-09
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domain: internet-finance
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format: tweet
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status: unprocessed
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status: null-result
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tags: [mycorealms, farming, on-chain-governance, futardio, community, solana]
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linked_set: metadao-x-landscape-2026-03
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curator_notes: |
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@ -22,6 +22,11 @@ extraction_hints:
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- "Futardio participation — additional evidence for permissionless launch adoption"
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- "Low priority for standalone claims but useful as enrichment data for scope of ownership coin model"
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priority: low
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processed_by: rio
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processed_date: 2026-03-10
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enrichments_applied: ["ownership-coin-treasuries-should-be-actively-managed-through-buybacks-and-token-sales-as-continuous-capital-calibration-not-treated-as-static-war-chests.md", "metaDAO-is-the-futarchy-launchpad-on-solana-where-projects-raise-capital-through-unruggable-icos-governed-by-conditional-markets-creating-the-first-platform-for-ownership-coins-at-scale.md", "futarchy-implementations-must-simplify-theoretical-mechanisms-for-production-adoption-because-original-designs-include-impractical-elements-that-academics-tolerate-but-users-reject.md"]
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Low-priority source with minimal new substantive content. Extracted as enrichment rather than new claims — provides additional evidence for existing claims about ownership coin model scope, Futardio ecosystem adoption, and simplified futarchy reaching production. The community-run farming governance use case extends the ownership coin thesis beyond DeFi to physical agricultural assets, supporting claims about the model's versatility. Key facts preserved: Mycorealms is a community-run farming project on Solana using on-chain governance for agricultural decisions, active in Futards community, promotes Futarded memecoin launched on Futardio."
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---
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# @mycorealms X Archive (March 2026)
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@ -6,7 +6,7 @@ url: https://x.com/ownershipfm
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date: 2026-03-09
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domain: internet-finance
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format: tweet
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status: unprocessed
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status: null-result
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tags: [ownership-podcast, media, futarchy, metadao, community-media]
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linked_set: metadao-x-landscape-2026-03
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curator_notes: |
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@ -22,6 +22,10 @@ extraction_hints:
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- "Cultural artifact for landscape musing — register, tone, community identity signals"
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- "Low standalone claim priority — primarily amplification and discussion facilitation"
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priority: low
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processed_by: rio
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Source is an X archive summary with no specific tweets, quotes, or detailed content. Curator notes explicitly classify this as low extraction priority - primarily amplification and discussion facilitation rather than original analysis. Contains only metadata about the account (40 MetaDAO references, 34% noise, general topic categories) which are facts about the account rather than extractable claims. No specific evidence or arguable propositions present in the source material itself."
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---
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# @ownershipfm X Archive (March 2026)
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@ -42,3 +46,12 @@ priority: low
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## Noise Filtered Out
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- 34% noise — event promotion, scheduling, casual engagement
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- Content is primarily facilitative rather than analytical
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## Key Facts
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- @ownershipfm is the primary media outlet for MetaDAO/futarchy ecosystem
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- Account contains 40 direct MetaDAO references - highest of any account in the network
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- Hosted by 8bitpenis, produced by Blockformer, powered by MetaDAO
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- Content format is podcast/spaces - episode promotion and live discussion summaries
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- Tone: earnest, community-building, technically accessible
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- 34% of content is noise - event promotion, scheduling, casual engagement
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@ -6,7 +6,7 @@ url: https://x.com/rocketresearchx
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date: 2026-03-09
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domain: internet-finance
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format: tweet
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status: unprocessed
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status: null-result
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tags: [media, research, trading, market-analysis, solana]
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linked_set: metadao-x-landscape-2026-03
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curator_notes: |
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@ -19,6 +19,10 @@ extraction_hints:
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- "Market structure commentary — broader context for crypto capital formation"
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- "Null-result likely for MetaDAO-specific claims"
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priority: low
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processed_by: rio
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Source contains only trading/technical analysis content (EMA 8 rejection, market cap comparisons, geopolitical risk assessment). Curator notes explicitly classify this as low priority with null-result likely for mechanism design claims. Only 2 peripheral MetaDAO references. No novel claims about futarchy, Living Capital, or token economics that aren't already covered in existing knowledge base. Content is market commentary rather than mechanism design insight."
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---
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# @rocketresearchx X Archive (March 2026)
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## Noise Filtered Out
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- 6% noise — highly substantive but wrong domain for claim extraction
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## Key Facts
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- @rocketresearchx is an OG crypto research outfit operating since 2011
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- Content has 94% substantive ratio but is trading/technical analysis focused
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- Only 2 MetaDAO references - described as peripheral to ecosystem
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- Priority was marked as low by curator
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- Extraction hints indicated null-result likely for MetaDAO-specific claims
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@ -6,7 +6,7 @@ url: https://x.com/_spiz_
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date: 2026-03-09
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domain: internet-finance
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format: tweet
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status: unprocessed
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status: null-result
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tags: [wider-ecosystem, futardio, solana, bear-market]
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linked_set: metadao-x-landscape-2026-03
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curator_notes: |
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@ -18,6 +18,10 @@ extraction_hints:
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- "Bear market building thesis — cultural data point"
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- "Low priority — tangential ecosystem voice"
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priority: low
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processed_by: rio
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Source contains only a summary listing three topic areas (Futardio fundraising market landscape analysis, bear market building thesis, ecosystem coordination emphasis) with no actual tweet content, quotes, or data. Curator notes explicitly marked this as 'low claim extraction priority' and 'tangential ecosystem voice.' Without actual tweet text, there is no evidence to extract or claims to evaluate. The 48% substantive classification refers to the account's general posting patterns, not content from this specific archive."
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---
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# @_spiz_ X Archive (March 2026)
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@ -6,7 +6,7 @@ url: https://x.com/turbine_cash
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date: 2026-03-09
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domain: internet-finance
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format: tweet
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status: unprocessed
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status: null-result
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tags: [turbine, privacy, privacyfi, futardio, solana, metadao-ecosystem]
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linked_set: metadao-x-landscape-2026-03
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curator_notes: |
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- "TWAP buyback mechanics — connects to 01Resolved's analysis, evidence for automated treasury management"
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- "Cross-domain flag for Theseus: privacy infrastructure intersects with AI alignment (encrypted computation, data sovereignty)"
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priority: low
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processed_by: rio
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processed_date: 2026-03-10
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extraction_model: "minimax/minimax-m2.5"
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extraction_notes: "Model returned 0 claims, 0 written. Check extraction log."
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---
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# @turbine_cash X Archive (March 2026)
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