In Focus: OpenAI Daybreak

Information in this post reflects publicly available sources as of June 29, 2026. You merge a pull request on a Friday afternoon. It passes review, passes CI, and ships. Three weeks later a security researcher emails to say that exact change introduced a use-after-free that lets an unprivileged user escalate to root. The patch was a two-line diff. Finding it required reading half a million lines of kernel code with the right question in mind. For … Read More

In Focus: The Lean AI Firm

Information in this post reflects publicly available sources as of June 22, 2026. A code editor called Cursor reportedly crossed two billion dollars in annual recurring revenue this year. The team behind it is somewhere around fifty people. That works out to roughly forty million dollars of revenue for every person on the payroll, a figure that simply did not exist in software before the last couple of years. Cursor is not a fluke. Midjourney is r… Read More

In Focus: Microsoft's Majorana 2

Information in this post reflects publicly available sources as of June 16, 2026. On June 2, at the close of its Build 2026 conference, Microsoft held up a small gold-and-blue chip and made a claim that would be hard to overstate. Its quantum bits, the company said, had become 1,000 times more reliable than the previous generation. One Microsoft technical fellow put it plainly from the stage: "We're 1,000 times better." The room und… Read More

In Focus: Siri AI

Information in this post reflects publicly available sources as of June 10, 2026. For years, the running joke about Siri was that it could not reliably set a timer without mishearing you. While OpenAI shipped ChatGPT to 900 million weekly users and Google folded Gemini into every Android surface, Siri answered questions about the weather and occasionally called the wrong contact. The gap between what Apple's assistant could do and what the co… Read More

Explained: Unsupervised Learning

The box of photos Imagine someone hands you a box of a thousand printed photos. No labels, no dates, no context. They ask you to sort them into groups. You would manage just fine. Holidays go together. Family gatherings go together. Food shots, landscapes, pets. You would form those groups naturally, without anyone telling you the categories in advance. Nobody trained you on a labeled dataset of photo types. You just looked for things that seemed … Read More

Explained: Reinforcement Learning

You already know how this works Think back to the first time you played a video game with no tutorial. Maybe it was an old platformer, or a fighting game at a friend's house. Nobody explained the controls. You just pressed buttons and watched what happened. Jump landed on the platform: good. Walk into the enemy: bad. Fall into the pit: very bad. Within twenty minutes, without reading a single word of instruction, you had a working mental mode… Read More