AI Agent Architecture: From Harness to Self-Evolution

Diagram of AI agent architecture showing the model wrapped by a harness, loops, and self-evolving layers

Let me start with a confession that should worry you slightly. The large language model at the heart of every “AI agent” you’ve read about is, on its own, utterly helpless. It cannot remember what it did five minutes ago, press a button, read a file, run a test, or check whether its own brilliant …

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Why “Act As An Expert” Prompts Make AI Dumber | 2026 Guide

In 1974, the legendary physicist Richard Feynman stood before the graduating class at Caltech and told them a story about the South Sea islanders. During World War II, these islanders had watched magnificent flying machines descend from the sky, bringing with them endless supplies of cargo. When the war ended and the planes stopped coming, …

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Nested Learning: Waking Up the Static Giants of AI

Imagine you are the most intelligent person in the world. You have read every book, seen every movie, and studied every equation up until the year 2023. But today, you wake up with a strange condition: anterograde amnesia. You can hold a conversation, you can reason brilliantly using your vast library of knowledge, but you …

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Categorical Cross-Entropy: The Ultimate Guide for Deep Learning

The Art of Choosing One From Many: Categorical Cross-Entropy and the AI’s Grand Decision Imagine you’re a librarian training a new assistant. This isn’t just any library; it has 50,000 different sections. You hand the assistant a book and ask, “Where does this go?” The assistant, being new, doesn’t just point to one section. Instead, …

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