Privacy is becoming a luxury in the AI world. If you’re tired of sending your data to the cloud every time you ask a question, running a model locally is the answer. Today, we’re looking at Qwen 3.5 9B—a powerhouse model from Alibaba—and how to get it running on your own machine using Ollama. Whether you’re a […]
Read More →“Shock! Shock!” That’s how Professor Donald Knuth—the man who literally wrote the bible of computer science, The Art of Computer Programming—opened his latest paper. He wasn’t reacting to a scandal or a bug. He was reacting to a mathematical breakthrough. Specifically, a breakthrough made by an AI. For weeks, Knuth had been wrestling with an open […]
Read More →localhost:3000 — Meet PortlessIf you’ve ever typed npm run dev, refreshed a browser tab, and found yourself staring at the wrong project — you already know why Portless exists. Table of Contents Local development has a dirty little secret: port numbers are terrible identifiers. They collide, they’re impossible to memorize across a microservices stack, and they silently break things […]
Read More →A format designed for bloggers in 2004 now sits at the center of how AI systems read, write, and think. Table of contents How we got here If you work with LLMs at all, you’ve probably noticed something: Markdown is everywhere. Ask Claude a question, you get Markdown back. Ask GPT-4, same thing. Feed a […]
Read More →LLMs are stateless. Agents aren’t. Here’s what sits in between. Table of contents Introduction LLMs are stateless by design. Each API call is independent — the model has no mechanism to remember what happened in a previous request. But somehow, the agents built on top of these models maintain context across long conversations, recall user […]
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