There is a video going around called “Microsoft Admits it was Wrong About AI,” and the story it tells is comfortable and clean. For years we were told that AI would take the programmers first, then the office workers, then just about everyone who earns a living at a keyboard, and now the very companies…
GitHub added Kimi K2.7 Code, Copilot’s first open-weight model. Here is what open weight actually buys you, and when switching models is worth it.
Z.ai’s open-weight GLM-5.2 tops frontier models on coding benchmarks for a fraction of the cost. Here’s when cheap-and-open pays off, and when it’s a trap.
I dug into OpenAI’s new gpt-realtime-2.1 models. The 25% latency cut is fine, but selectable reasoning effort and 128K context are the real unlock.
Gemini 3.5 Pro ships a 2 million token context window on July 17. Here is what that actually buys you, what it won’t fix, and how to use it well.
Anthropic’s Claude Science makes AI show its work with auditable outputs. Here’s why that matters more than drug discovery, and what you should demand next.
The most valuable AI skill is not prompting. It is spotting the fluent, confident, wrong answer. Learn the tells and a working method to catch them.
A new US framework will vet frontier AI models like GPT-5.6 before release. Here is the real security case, the real cost, and what it changes for you.
OpenAI’s GPT-5.6 splits into Sol, Terra, and Luna. I break down the pricing, the razor-thin benchmark lead, and why Terra is the tier that matters.
Google’s new Gemini image models finally render readable text and edit photos in one step. When to use Flash, when to pay for Pro, and when to trust neither.