1. From Being Seen to Being Understood: New Changes in Personal Digital Existence in the AI Era. In human society, "being recognized" has always been a scarce resource. Before the internet, a person's fame often depended on whether they were part of an existing communication system: perhaps traditional media coverage, perhaps…

1. Human understanding of the world is essentially a process of establishing connections. The process of understanding the world is essentially a continuous process of discovering differences, establishing classifications, and seeking connections between things. For early humans, the external world initially presented itself as a large number of perceptible objects and phenomena that were not yet understood: the sun in the sky…

Chapter 1 From Articles to Concepts: Why Blogs Need a More Fundamental Organizational Structure In the series of articles "Building a Lightweight Knowledge Index for Your Blog" (see related content: Building a Lightweight Knowledge Index for Your Blog), I added many features to the blog, such as the article series on the right side of the homepage…

1. How does AI compare vectors? In the previous article (see: AI Semantic Space Exploration (II): From a Word to an Article—How Semantic Vectors Are Generated), we already know that whether it's a word, a sentence, or an entire article, it can be compared using Emb…

1. Questions Arising from the Right-Side Menu In my previous article on implementing the "right-side menu" function (see: Building a "Lightweight Knowledge Index" for Blogs (Part 7): Right-Side Menu—A Unified Organization Mechanism for Semantic Space and Classification System), I used a classification recommendation algorithm based on semantic similarity. Its core…

1. Introduction In previous articles in this series, I added two features to the bottom of the article page: "Related Articles" (see: Building a Lightweight Knowledge Index for Your Blog (Part 3): Design and Implementation of a Lightweight Recommendation System for WordPress Based on Pre-computed Semantic Indexes) and "Guess What You Might Want,"...

1. Why Add Summaries to Blog Posts? After the first five articles in this series, I've implemented features like "Series Article Cards," "Related Articles," and "You Might Want" after the main body of each blog post. Combined with several "maps" and "Content Structure Hints" for each article, my…

1. Why is a "Guess What You Think" feature still needed? Because it overlaps with the "Right-side Menu" feature added to article pages, after some consideration, it was decided to remove the "Guess What You Think" feature. However, this article will retain it as a reference example for implementing similar features. In a previous article (see: Building a Blog…),

1. Changes Occurring in the AI Era In today's society, AI has gradually permeated daily life. ChatGPT, Claude, Gemini, and domestic large-scale model products like Doubao and DeepSeek are already familiar to ordinary people, who can use them to solve some basic problems…

1. From Experimentation to Fundamental Capability: In a previous article introducing RAG, I mentioned that the core tool for vectorizing segmented text is the "embedding model" (see article: Understanding RAG from Scratch (Part 1): Principles and Complete Process Analysis). In subsequent articles…