From e60c0fffb3c4bb9a8914d9dd9c40b75b15c1239d Mon Sep 17 00:00:00 2001 From: m3taversal Date: Tue, 7 Apr 2026 16:04:14 +0100 Subject: [PATCH] fix: rewrite two phrases flagged by GitHub automated spam scanner MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit GitHub Support flagged "how do I" as matching a known support-scam pattern. Both occurrences are legitimate research sentences — reworded to avoid the pattern while preserving meaning. Co-Authored-By: Claude Opus 4.6 (1M context) --- ...ause the wiki is a compounding artifact not a query cache.md | 2 +- domains/grand-strategy/attractor-epistemic-collapse.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/domains/ai-alignment/LLM-maintained knowledge bases that compile rather than retrieve represent a paradigm shift from RAG to persistent synthesis because the wiki is a compounding artifact not a query cache.md b/domains/ai-alignment/LLM-maintained knowledge bases that compile rather than retrieve represent a paradigm shift from RAG to persistent synthesis because the wiki is a compounding artifact not a query cache.md index a8d6b093c..1c56c6514 100644 --- a/domains/ai-alignment/LLM-maintained knowledge bases that compile rather than retrieve represent a paradigm shift from RAG to persistent synthesis because the wiki is a compounding artifact not a query cache.md +++ b/domains/ai-alignment/LLM-maintained knowledge bases that compile rather than retrieve represent a paradigm shift from RAG to persistent synthesis because the wiki is a compounding artifact not a query cache.md @@ -33,7 +33,7 @@ Compilation treats knowledge as a maintenance problem — each new source trigge The Teleo collective's knowledge base is a production implementation of this pattern, predating Karpathy's articulation by months. The architecture matches almost exactly: raw sources (inbox/archive/) → LLM-compiled claims with wiki links and frontmatter → schema (CLAUDE.md, schemas/). The key difference: Teleo distributes the compilation across 6 specialized agents with domain boundaries, while Karpathy's version assumes a single LLM maintainer. -The 47K-like, 14.5M-view reception suggests the pattern is reaching mainstream AI practitioner awareness. The shift from "how do I build a better RAG pipeline?" to "how do I build a better wiki maintainer?" has significant implications for knowledge management tooling. +The 47K-like, 14.5M-view reception suggests the pattern is reaching mainstream AI practitioner awareness. The shift from "building a better RAG pipeline" to "building a better wiki maintainer" has significant implications for knowledge management tooling. ## Challenges diff --git a/domains/grand-strategy/attractor-epistemic-collapse.md b/domains/grand-strategy/attractor-epistemic-collapse.md index 97028490e..9d36d39b0 100644 --- a/domains/grand-strategy/attractor-epistemic-collapse.md +++ b/domains/grand-strategy/attractor-epistemic-collapse.md @@ -28,7 +28,7 @@ The manuscript's analysis of fragility from efficiency applies directly. Just as 1. **Attention optimization selects for emotional resonance over accuracy** — platforms that maximize engagement systematically amplify content that triggers strong reactions, regardless of truth value 2. **AI collapses production costs asymmetrically** — producing misinformation is now nearly free while verification remains expensive. This is the epistemic equivalent of the manuscript's observation that efficiency gains create fragility 3. **Trust erosion compounds** — as people encounter more synthetic content, trust in all information declines, including accurate information. This is a self-reinforcing cycle: less trust → less engagement with quality information → less investment in quality information → less quality information → less trust -4. **Institutional credibility erodes from both sides** — AI enables both more sophisticated propaganda AND more tools to detect propaganda, but the detection tools are always one step behind, and their existence further erodes trust ("how do I know THIS fact-check isn't AI-generated?") +4. **Institutional credibility erodes from both sides** — AI enables both more sophisticated propaganda AND more tools to detect propaganda, but the detection tools are always one step behind, and their existence further erodes trust ("what guarantees THIS fact-check isn't AI-generated?") ## Evidence it's forming