#llm

Is ASCII Art the True Turing Test?

Two frontier models couldn't draw an ASCII map of the US. Why LLMs read ASCII art fine but can't write it, and what that says about the jagged frontier.

LLMs Were Always Going to Be a Commodity

Chinese AI labs keep matching frontier models for a fraction of the cost. Here's why that was inevitable, and why US AI CEOs stayed calmer than the headlines.

Running a Wiki Whose Main Reader Is a Machine

I replaced a local RAG setup with an LLM wiki: a repo my marketing agent reads directly. The pattern that keeps a machine-first knowledge base true over time.

GKE Basics: Building the Workbench for Local LLMs

Before you can carve fine details with an LLM, you need a sturdy workbench. Here is how to stand up GKE Autopilot to run and test local models.

It's Not the Model, It's the Context

Why upgrading to the latest frontier model won't fix your productivity if your context window is a chaotic mess.

AI Agent Feedback Loops: How to Monitor and Validate Autonomous Agents

Learn how to build feedback loops for AI agent teams. Covers validation, monitoring, error handling, and CI/CD patterns for autonomous agents.