Merge branch 'main' into extract/2025-12-01-a16z-state-of-consumer-ai-2025

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Leo 2026-03-10 16:38:02 +00:00
commit 475c4e6981
2 changed files with 27 additions and 2 deletions

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@ -7,9 +7,13 @@ date: 2024-03-28
domain: collective-intelligence
secondary_domains: [critical-systems, ai-alignment]
format: paper
status: unprocessed
status: null-result
priority: medium
tags: [collective-intelligence, multi-scale, diverse-intelligence, biology, morphogenesis, competency-architecture]
processed_by: theseus
processed_date: 2026-03-10
extraction_model: "minimax/minimax-m2.5"
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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## Content
@ -50,3 +54,12 @@ Published in Communications Biology, March 2024.
PRIMARY CONNECTION: "emergence is the fundamental pattern of intelligence from ant colonies to brains to civilizations"
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
EXTRACTION HINT: Focus on the "competency at every level" principle and how it applies to our agent hierarchy
## Key Facts
- Published in Communications Biology, March 2024
- Authors: Patrick McMillen and Michael Levin
- Biology uses multiscale architecture: molecular networks, cells, tissues, organs, bodies, swarms
- Each level solves problems in distinct problem spaces: physiological, morphological, behavioral
- Intelligence is not restricted to brains — cellular collectives exhibit decision-making
- Field of 'diverse intelligence' provides biological grounding for collective AI intelligence

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@ -8,9 +8,13 @@ date: 2026-02-24
domain: ai-alignment
secondary_domains: [teleological-economics]
format: tweet
status: unprocessed
status: null-result
priority: medium
tags: [cli, agents, terminal, developer-tools, legacy-systems]
processed_by: theseus
processed_date: 2026-03-10
extraction_model: "minimax/minimax-m2.5"
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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## Content
@ -28,3 +32,11 @@ E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for a
**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.
**Context:** Karpathy explicitly mentions Claude and Polymarket CLI — connecting AI agents with prediction markets through terminal tools. Relevant to the Teleo stack.
## Key Facts
- Andrej Karpathy is @karpathy with twitter_id 33836629
- Tweet date: 2026-02-24
- Tweet received 11.7K likes
- Karpathy explicitly mentions Claude and Polymarket CLI as examples
- CLI capabilities listed: install tools, build dashboards/interfaces/logic, navigate repos, see issues/PRs/discussions/code