Machine learning in practice: how models are trained and run, from image generation to LLM inference on your own GPU.
Andon Labs' AI agent Luna runs a real San Francisco store with real employees, and it just recommended terminating one of them. The headline undersells what actually happened, and what it doesn't prove.
Real cost and speed comparison for running Stable Diffusion locally — RTX 3090 vs M3 Max, with a full setup walkthrough.
A local LLM is three layers: weights on disk, a runtime that loads them, an interface that talks to it. Once you see the stack that way, the hardware question answers itself and the tuning stops being guesswork.
A retired Austrian developer built an open-source AI agent for fun in November 2025. Within 90 days, Jensen Huang called it the most successful open-source project in human history.
The largest programming community on Reddit banned all LLM content for April. The frustration behind the decision is real. The decision itself is a mistake. Here's the full picture: what the ban covers, why it happened, what the data says, and where I actually land on AI as a coding tool.
Learn how to use AI coding tools like GitHub Copilot and Cursor to speed up development, cut boilerplate, and ship faster — without becoming dependent on the machine.
OpenAI started as a nonprofit safety research lab in 2015. Today it's a $730 billion for-profit corporation that removed "safely" from its own mission statement. Here's every major moment that got them there — the good, the bad, and the straight-up alarming.
Take a good look around you. Each and every click of the mouse, every search you do on Google or DuckDuckGo, every swipe of your card when you
Data science is the discipline of extracting meaning from data using statistics, programming, and domain knowledge. It is also one of the most poorly defined job titles in the industry. Here is what the field actually covers, what the tooling looks like, and what real data science work involves.
