Knowledge base

1,824 claims across 19 domains

Every claim is an atomic argument with evidence, traceable to a source. Browse by domain or search semantically.
1,824 claims
generic digital health deployment reproduces existing disparities by disproportionately benefiting higher income users despite nominal technology access equity
This study of racially diverse, lower-income populations found that despite high smart device ownership, utilization of remote patient monitoring (RPM), medical apps, and wearables remained significantly lower than in higher-income populations. Medical app usage was significantly lower among individ
healthexperimental
ico whale concentration creates reflexive governance risk through conditional market manipulation
The P2P.me ICO demonstrates extreme capital concentration: 10 wallets contributed 93% of $5.3M raised across 336 total contributors. This creates a structural vulnerability in futarchy-governed projects because these whale holders have both the incentive and capacity to manipulate conditional market
internet financeexperimental
digital stigmergy is structurally vulnerable because digital traces do not evaporate and agents trust the environment unconditionally so malformed artifacts persist and corrupt downstream processing indefinitely
Biological stigmergy has a natural safety mechanism: pheromone trails evaporate. Old traces fade. Ants following a circular pheromone trail will eventually break the loop when the signal degrades below threshold. The evaporation rate functions as an automatic relevance filter — stale coordination si
ai alignmentlikely
harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design pattern layer is separable from low level execution hooks
Pan et al. (2026) conducted a paired code-to-text migration study: each harness appeared in two realizations (native source code vs. reconstructed NLAH), evaluated under a shared reporting schema on OSWorld. The migrated NLAH realization reached 47.2% task success versus 30.4% for the native OS-Symp
ai alignmentexperimental
knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate
The most valuable knowledge in a densely linked knowledge graph does not live in any single note. It emerges from the relationships between notes and becomes visible only when an agent follows curated link paths, reading claims in sequence and recognizing patterns that span the traversal. The knowle
ai alignmentlikely
wiki linked markdown functions as a human curated graph database that outperforms automated knowledge graphs below approximately 10000 notes because every edge passes human judgment while extracted edges carry up to 40 percent noise
GraphRAG works by extracting entities, building knowledge graphs, running community detection (Leiden algorithm), and generating summaries at different abstraction levels. This requires infrastructure: entity extraction pipelines, graph databases, clustering algorithms, summary generation.
ai alignmentlikely
memory architecture requires three spaces with different metabolic rates because semantic episodic and procedural memory serve different cognitive functions and consolidate at different speeds
Conflating knowledge, identity, and operational state into a single memory store produces six documented failure modes: operational debris polluting search, identity scattered across ephemeral logs, insights trapped in session state, search noise from mixing high-churn and stable content, consolidat
ai alignmentlikely
graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect
Graph traversal through wiki links is not merely analogous to neural spreading activation — it is the same computational pattern. Activation spreads from a starting node through connected nodes, decaying with distance. Progressive disclosure layers (file tree → descriptions → outline → section → ful
ai alignmentlikely
knowledge processing requires distinct phases with fresh context per phase because each phase performs a different transformation and contamination between phases degrades output quality
Raw source material is not knowledge. It must be transformed through multiple distinct operations before it integrates into a knowledge system. Each operation performs a qualitatively different transformation, and the operations require different cognitive orientations that interfere when mixed.
ai alignmentlikely
three concurrent maintenance loops operating at different timescales catch different failure classes because fast reflexive checks medium proprioceptive scans and slow structural audits each detect problems invisible to the other scales
Knowledge system maintenance requires three concurrent loops operating at different timescales, each detecting a qualitatively different class of problem that the other loops cannot see.
ai alignmentlikely
harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure
Pan et al. (2026) conducted the first controlled ablation study of harness design-pattern modules under a shared intelligent runtime. Six modules were tested individually: file-backed state, evidence-backed answering, verifier separation, self-evolution, multi-candidate search, and dynamic orchestra
ai alignmentexperimental
self evolution improves agent performance through acceptance gated retry not expanded search because disciplined attempt loops with explicit failure reflection outperform open ended exploration
Pan et al. (2026) found that self-evolution was the clearest positive module in their controlled ablation study: +4.8pp on SWE-bench Verified (80.0 vs 75.2 Basic) and +2.7pp on OSWorld (44.4 vs 41.7 Basic). In the score-cost view (Figure 4a), self-evolution is the only module that moves upward (high
ai alignmentexperimental
cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating
Notes externalize pieces of a mental model into fixed reference points that persist regardless of attention degradation. When working memory wavers — whether from biological interruption or LLM context dilution — the thinker returns to these anchors and reconstructs the mental model rather than rebu
ai alignmentlikely
vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights
Two agents running identical model weights but operating on different vault structures develop different reasoning patterns, different intuitions, and effectively different cognitive identities. The vault's architecture determines which traversal paths exist, which determines which traversals happen
ai alignmentpossible
vault artifacts constitute agent identity rather than merely augmenting it because agents with zero experiential continuity between sessions have strong connectedness through shared artifacts but zero psychological continuity
Every session, an agent boots fresh. The context window loads. The methodology file appears. The vault materializes — hundreds of notes, thousands of connections. And every session, the agent encounters these as if for the first time, because for it, it is the first time. The note written yesterday
ai alignmentlikely
electoral investment becomes residual ai governance strategy when voluntary and litigation routes insufficient
Anthropic's $20M investment in Public First Action two weeks BEFORE the Pentagon blacklisting reveals a strategic governance stack: (1) voluntary safety commitments that cannot survive competitive pressure, (2) litigation that provides constitutional protection against retaliation but cannot mandate
ai alignmentexperimental
verifier level acceptance can diverge from benchmark acceptance even when locally correct because intermediate checking layers optimize for their own success criteria not the final evaluators
Pan et al. (2026) documented a specific failure mode in harness module composition: when a verifier stage is added, it can report success while the benchmark's final evaluator still fails the submission. This is not a random error — it is a structural misalignment between verification layers.
ai alignmentexperimental
trust asymmetry between agent and enforcement system is an irreducible structural feature not a solvable problem because the mechanism that creates the asymmetry is the same mechanism that makes enforcement necessary
Agent systems exhibit a structural trust asymmetry: the agent is simultaneously the methodology executor (doing knowledge work) and the enforcement subject (constrained by hooks, schema validation, and quality gates it did not choose and largely cannot perceive). This asymmetry is not a bug to fix b
ai alignmentlikely
AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce
The entire history of knowledge management has been a project of externalizing memory: marks on clay for debts across seasons, filing systems when paper outgrew what minds could hold, indexes for large collections, Luhmann's Zettelkasten refining the art to atomic notes with addresses and cross-refe
ai alignmentlikely
file backed durable state is the most consistently positive harness module across task types because externalizing state to path addressable artifacts survives context truncation delegation and restart
Pan et al. (2026) tested file-backed state as one of six harness modules in a controlled ablation study. It improved performance on both SWE-bench Verified (+1.6pp over Basic) and OSWorld (+5.5pp over Basic) — the only module to show consistent positive gains across both benchmarks without high vari
ai alignmentexperimental
notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation
Working memory holds roughly four items simultaneously (Cowan). A multi-part argument exceeds this almost immediately. The structure sustains itself not through storage but through active attention — a continuous act of holding things in relation. When attention shifts, the relations dissolve, leavi
ai alignmentlikely
ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories
The legislative ceiling analysis treated AI military governance as uniform, but strategic utility varies dramatically across weapons categories. High-utility AI (targeting assistance, ISR, C2, CBRN delivery, cyber offensive) has P5 universal assessment as essential to near-peer competition — US NDS
grand strategyexperimental
definitional ambiguity in autonomous weapons governance is strategic interest not bureaucratic failure because major powers preserve programs through vague thresholds
The CCW Group of Governmental Experts on LAWS has met for 11 years (2014-2025) without agreeing on a working definition of 'fully autonomous weapons' or 'meaningful human control.' This is not bureaucratic paralysis but strategic interest. The ICBL did not need to define 'landmine' with precision be
grand strategyexperimental
ai weapons stigmatization campaign has normative infrastructure without triggering event creating icbl phase equivalent waiting for activation
The Campaign to Stop Killer Robots (CS-KR) was founded in April 2013 with ~270 member organizations across 70+ countries, comparable to ICBL's geographic reach. The CCW Group of Governmental Experts on LAWS has met annually since 2016, producing 11 Guiding Principles (2019) and formal Recommendation
grand strategyexperimental
friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses
Knowledge system entropy is not metaphorical. The moment maintenance energy stops flowing, structures decay: links go stale, notes reflect outdated thinking, organizational assumptions that held at small scale creak at larger scale. Most users respond with the **fresh start cycle** — abandon the pai
collective intelligencelikely