For the data science and machine learning community, Dots deserves more than a quick skim of the announcement. It introduces ...

The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.

A fitted statsmodels model computes a more than just the array of numbers most code pulls out of it. The point forecast is ...

Growth like that invites a fair question: is this a lasting career, or does the hype cycle have a new name? The ...

This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.

Learn how to use Julius AI to analyze Excel data, verify key findings, and turn them into an editable PowerPoint presentation ...

Superwhisper launched its S1 family on August 19, 2026, three proprietary models, S1-Voice, S1-Language, and S1-mini, this is ...

Data professionals live in their browsers. You're reading technical documentation, analyzing research papers, reviewing model cards, working through GitHub repositories, and summarizing industry ...

A closer look at TypeSafe AI’s Jev, what it actually does, what is genuinely new, and where the hype goes too far. Today, I'm trying something different. Instead of another standard "What is Jev?" ...

Prompt optimization and prompt engineering get used interchangeably online, and that's causing more confusion than it should. Prompt engineering designs a prompt from scratch; prompt optimization ...

A common problem with AI agents is that their performance can seem worse after a change, without anyone knowing what caused it. The system prompt may have been changed, a tool description may have ...