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AI-Native Knowledge Platforms for Human-Machine Docs
What happens when AI agents start writing documentation alongside humans — and the two versions inevitably drift apart? In this episode, we explore the five dimensions of an AI-native knowledge platform: machine-friendly structure, human-friendly editing, provenance and attribution, conflict resolution, and the single shared store. We look at why existing tools like Obsidian, Notion, and Confluence fall short, and what a graph-based system of atomic assertions with authority-weighted version control might look like. The conversation touches on the failures of the semantic web, the rise of…
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