Hospitals in England filled about 95% of their adult beds at the peak of last year’s flu season. A hotelier would call that a triumph. Cornell mathematicians Steven Strogatz and Alex Townsend open a Guardian
Britain’s youth jobs crisis has a new gatekeeper. It screens in seconds and rarely writes back. Callum Atkinson had a CV, a willingness to work, and an inbox full of machine replies. The 23-year-old from
Farming punishes overconfident technology. Mud jams wheels. Weather wrecks forecasts. No software patch can undo a fertilizer mistake. That makes agriculture a tough exam for agentic AI. Planning is the easy part. Trust is the
In 2001, Tim Berners-Lee described a web that software agents could run for us. He called it the Semantic Web. It needed every site owner to tag pages by hand. Almost nobody did. Language models
Ask a chatbot what is on its mind, and it will answer. The harder question is whether that answer describes anything real. Ben Brubaker tackles that question in a Quanta Magazine report published November 4,
Ask whether AI will create more jobs than it kills, and you’ll get two confident answers. The optimists wave around the World Economic Forum’s 78 million net new jobs by 2030. The pessimists point to
Wall Street spent 2026 searching for shelter from the AI spending storm, and it found Apple. On November 2, the company reminded investors that shelter carries rent. Apple posted record September-quarter revenue of $114.5 billion,
You’re staring at terabytes of network telemetry. Your AI model needs labels to make sense of it, but manually annotating data is slow, expensive, and frankly, mind-numbing. Meanwhile, your 5G network keeps generating more data
Picture a founder who ships a working product over one long weekend. An AI coding assistant writes the boilerplate. One of the browser-based site builders that turn a prompt into a landing-page draft handles the
Air Canada learned an expensive lesson in February 2024. A grieving passenger had asked the airline’s website chatbot about bereavement fares, got the wrong answer, and booked on the strength of it. When the case