Editorial coverage of artificial intelligence — the models, the infrastructure, the businesses being built on top of them.
Our AI coverage is grounded reporting on the systems, businesses, and second-order effects that actually matter. We audit predictions against outcomes, map production patterns as they emerge, and separate the frontier story from the small-model story. Every piece is reviewed by a human editor with a working understanding of the underlying research.
Editor's Picks
Eighteen months after Anthropic open-sourced the Model Context Protocol, MCP has quietly become the default plug for AI agents. We surveyed the public registry and production deployments to map what works, what breaks, and where the next gap is.
The narrative that big always wins is a partial narrative. We map the class of small, task-focused models that quietly took a growing share of production AI work — where they win, where they still lose, and what changed.
The AI infrastructure conversation is bad because the layers blur. Most arguments about 'the AI stack' confuse five separate markets with five separate competitive dynamics. Here is the framework we use to keep them apart.
Latest
A recent incident has sparked debate over workplace surveillance, with employees expressing outrage over Meta-shot footage of people using the bathroom. The use of Ray-Ban Meta smart glasses has raised questions about worker privacy and the potential for abuse. As the situation unfolds, it's clear that the issue of Meta workplace surveillance is more pressing than ever.
A recent bombing at a girl's school in Iran has raised questions about the role of AI in military operations. An AI error may have led to the attack, sparking debate over the use of AI technology in warfare. The incident highlights the need for greater oversight and regulation of AI systems.
The integration of AI in education is pushing students to rely more heavily on artificial intelligence, changing the way they write and think. This shift is forcing educators to rethink their approach to writing assessment. Can AI in schools help or hinder student writing?
The integration of AI in education is transforming the way students write, with a focus on distinguishing human writers from robots. This shift is pushing students to utilize AI tools more frequently. As a result, writing assessment tools are evolving to keep pace.
The pursuit of AGI has been marked by shifting goalposts and revised timelines. As AI development accelerates, what can we expect from the future of Artificial General Intelligence? Dive into the changing landscape of AGI and its implications.
Discover the power of reactivity algorithms in building efficient reactive systems. Explore pushing and pulling algorithms and their applications in software development. Improve your algorithm design skills with this in-depth guide.
In a groundbreaking experiment, brain cells in a Petri dish were used to play the classic video game Doom. This achievement has far-reaching implications for AI and our understanding of the brain.