Learn a thing about AI
Practical, no-hype guides for developers building with AI. From fundamentals to production.
Neural NetworksApril 29, 2026Interactive demoHow Neural Networks Work
A plain-English walk-through of neurons, layers, training, and embeddings. The fundamentals you need before any modern AI article makes full sense.
10 min read
LLMApril 29, 2026LLMs Explained, Part 1: How We Got Here
A simple history of AI from 1950 to 2017, written for software engineers who want to understand where today's LLMs actually came from.
15 min read
LLMApril 29, 2026LLMs Explained, Part 2: How the Transformer Works
How the 2017 'Attention Is All You Need' paper threw out the RNN, what self-attention actually does, and why this one architecture became the foundation of every LLM today.
14 min read
LLMMarch 5, 2026Updated April 29, 2026What Even Is AI Right Now
A long, plain-English map of the AI world for tech professionals. What an LLM actually is, how RAG works, what an agent is, and where to start if you want to move your career toward AI.
28 min read
LLMApril 27, 2026The Open-Weights Models You Can Actually Download
A snapshot of who's shipping what in open-weights LLMs right now: parameter counts, architecture, context length, license, and whether the weights are really open or just open with friction.
11 min read
LLMMarch 21, 2026How Much Should You Trust What an LLM Tells You?
I fine-tuned a model on 50 wrong answers to see what it does with a question it hasn't seen. The result changed how I think about trusting AI.
25 min read
AI AgentsMarch 7, 2026You Probably Don't Need an AI Agent
Everyone's throwing LLMs at problems that don't need them and calling everything an agent. Here's a simple way to think about what goes where.
5 min read