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⚡ AI Lessons
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
1mo ago
I Told My AI "You're Safe to Say I Don't Know." Then I Measured What Changed — With Logprobs.
My AI agent has a problem. When it's not sure about something — should it admit uncertainty, or...
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Meta-Cognition Is the Future of AI Personalization — A 4-Quadrant Framework to Build It
RAG and system prompts are external crutches. Real AI personalization means internalizing thinking patterns into model weights. A 4-quadrant meta-cognition mode
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
1mo ago
I Built a Self-Referential AI System. Then Anthropic Discovered the Same Architecture in Claude.
LLMs drift. They forget rules mid-conversation. They cannot verify their own output. These are not...
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
1mo ago
How I Built a File-Timestamp-Based Feedback Loop to Enforce AI Output Quality
The problem: AI outputs are probabilistic, and prompts have a ceiling LLMs produce...
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
2mo ago
I Run DeepSeek on Claude Code — How I Swap Models by Changing Only One File
Most CLAUDE.md files are 500-line monoliths. When you switch LLMs, you rewrite everything. After the...
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
2mo ago
Single-Modal LLMs Have a Blind Spot. Here's How to Fix It.
If you use Claude Code, Cursor, or any AI coding agent, you know the problem: you ask the AI to...
Dev.to · YuhaoLin2005
🧠 Large Language Models
⚡ AI Lesson
2mo ago
Has Anyone Measured How LLM Output Quality Degrades Across Multiple Compactions?
The Observation After ~70 sessions with DeepSeek V4 (1M context), I noticed something odd....
DeepCamp AI