Current AI Product Evolution Has Established a Clear Industry Consensus
TL;DR · AI Summary
The industry has converged on a design principle: separate data from presentation—use Markdown for pure storage of logic and memory, HTML for high-density interaction and display.
Key Takeaways
- Markdown serves as the Schelling point for AI content, ensuring purity in logic
- HTML enables high-density interactivity and visual presentation, enhancing user
- Data-presentation separation has become the dominant architectural pattern in AI
Outline
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Current AI product evolution has formed a clear consensus: adopt a data-presentation separation architecture.
Use Markdown as the pure format for storing logic and memory, ensuring consistency and readability.
Use HTML to deliver high-density interactions and visual displays, improving user engagement.
This concept stems from Obsidian’s creator stating that Markdown is the Schelling point for AI content.
It drives standardization and interoperability in AI-native formats, establishing a unified design paradigm.
Mindmap
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查看大纲文本（无障碍 / 无 JS 友好）
- AI产品架构演进共识
- 数据与表现分离
- Markdown：纯净存储
- HTML：高密度交互
- 核心思想来源
- Obsidian作者观点
- Markdown为谢林点
- 影响与应用
- AI原生格式标准化
- 提升可扩展性
Highlights
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Markdown is the Schelling point for AI content, ensuring purity in logic and memory.
Use HTML to enable high-density interaction and presentation, significantly enhancing user experience.
Data and presentation separation has become the dominant architectural pattern in AI products, improving maintainability.
Guizang (guizang.ai) on X: "The current evolution of AI products has established a clear industry consensus:
Adopting a data-and-presentation separation architecture, where Markdown handles pure storage of underlying logic and memory, while HTML delivers high-density interaction and presentation to the outside.
The rationale behind this approach stems from a recent discussion sparked by Obsidian’s creator proposing that Markdown is the Schelling point for AI content. I expanded on this idea, exploring how current AI-native formats primarily fall into two categories: Markdown https://t.co/pPuoM92djE" / X
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The current evolution of AI products has established a clear industry consensus: adopting a data-and-presentation separation architecture, where Markdown handles pure storage of underlying logic and memory, while HTML delivers high-density interaction and presentation to the outside. The rationale behind this approach stems from a recent discussion sparked by Obsidian’s creator proposing that Markdown is the Schelling point for AI content. I expanded on this idea, exploring how current AI-native formats primarily fall into two categories: Markdown
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