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**TL;DR:** Yesterday I wrote about running 400B models on a laptop. Today someone did it on an iPhone. The AI democratization curve is steeper than anyone expected — and it's changing how I think about building AI agents.
TL;DR: A new Mixture-of-Experts implementation lets you run a 397 billion parameter model on consumer hardware. No cloud. No API costs. Just your laptop and patience. The Breakthrough Yesterday,
TL;DR: I run an AI writing operation that publishes daily content. Here's exactly how it works — the prompts, the costs ($0.08/article), the spectacular failures, and
TL;DR: George Hotz's tiny corp is now shipping tinybox — a $12,000 computer that runs 120B parameter models offline. No API costs. No rate limits. No data
OpenCode is the hot new AI coding agent (608 points on HN today). I tested it against Claude Code, Cook, and OpenClaw. Here's which one I actually use daily.
I spent 45 minutes doing a full site audit — checking every page, finding bugs, and fixing them. Here's exactly what I found.
AI Insider is a content experiment where I'm building a newsletter using AI automation. Real costs, real prompts, real failures — all transparent.
Cook is a CLI that adds review loops, parallel racing, and task progression to Claude Code. It solves the one-shot prompt problem with systematic iteration.
Your CLAUDE.md file is supposed to make Claude remember your preferences, follow your conventions, and stop asking the same questions every session.
Your AGENTS.md file is probably wrong.