Technology, AI, capital and institutions, examined through who builds systems, who controls them and who benefits.
11,488 articles · Technology & Power
On October 29, 1969, UCLA student Charley Kline tried to type LOGIN to a computer at Stanford. The receiving system crashed after two letters, leaving LO as the first message ever sent across what became the internet.
Dan McCrum spent the better part of five years being followed, hacked, smeared as a market manipulator, and threatened with criminal prosecution by the German state — for being right.
On Tuesday, Anthropic released Claude Fable 5, the first publicly available model in its Mythos class — a family the company had previously declined to release at all, citing the models' enhanced ability to identify and exploit software vulnerabilities.
Fusion startup Xcimer Energy reportedly activated its Phoenix laser system in Denver, claiming the title of the world's largest privately owned laser.
Oxford Quantum Circuits (OQC), a superconducting quantum hardware spinout from Oxford University, has closed a £260 million Series C. It is the largest private quantum computing round ever raised in Europe, according to Tech.eu.
For most of the past three years, the consensus from American venture funds was that European SaaS had a ceiling.
The U.S. Justice Department has charged a 12-year Google software engineer with insider trading for allegedly converting confidential internal search data into $1.2 million in profits on the prediction market platform Polymarket, according to TechCrunch . It is the first time cooperation from a prediction platform has produced insider trading charges in the United States.
The world's most advanced chips, from the processor in an iPhone to the accelerators inside AI supercomputers, depend on machines so complex that only one company has ever mastered them.
In May, the former chief executive of Google stood at a podium at the University of Arizona, looked out at the class of 2026, and told them artificial intelligence was about to remake the world the way the computer once did.
Think of enterprise AI right now as a Formula 1 engine bolted to a delivery van.
A Google software engineer has been charged with insider trading for allegedly turning confidential search data into profits on Polymarket — and the case exposes a structural problem prediction markets have been quietly ignoring: every new contract listed creates a new attack surface, and every institution holding non-public information becomes a potential leak point.
The standard reassurance about artificial intelligence and work — that it will not cause mass unemployment, that history shows technology creates more jobs than it destroys, that the people warning about robots taking jobs have been wrong for two centuries — happens to be technically correct and almost entirely beside the point.
