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The Missing Infrastructure of AI Memory: Why Stronger Models Make Agents More Likely to 'Run in Circles'
Memory isn't an add-on feature for AI — it's the core infrastructure that transforms an Agent from a 'tool' into a 'partner.' This article won't walk you through a paper; instead, it helps you think clearly: if you're designing an AI Agent, what problem is the memory layer actually solving?
AI Tech Is Racing Ahead: One Bad News, One Good News
Feeling anxious about how fast AI is developing? Don't panic — technology will eventually become products anyone can use. The real question is how you position yourself now.
Which AI Tool Should I Use? 5 Questions to End the Guessing
Wrong tool, wasted effort. Use this decision framework to find the right AI tool for any task in 5 questions — no more guessing or random Googling.
AI Tool Landscape: The Five Walls Framework for Understanding AI Evolution
Why do more AI tools mean more confusion? Because you're missing a map, not more tutorials. Use the Five Walls framework to understand every leap in AI capability.
Computex 2026: Nvidia Breaks the OpenClaw Bottlenecks — Personal AI Assistant Era Begins
Four months ago I predicted in a course: once the tech matures and good local models arrive, personal AI agents go mainstream — and that will change the history of personal computing. Computex 2026 just proved it.
Dissecting an AI Agent: Skill, Tools, Harness — Why a Good Model Isn't Enough
The same Claude or GPT, dropped into different AI agents — one runs as steady as a seasoned chef, another keeps blowing itself up. The difference often isn't the model, but the layer you can't see: the Harness. Duck Editor takes apart the three layers of an agent.