In a controlled simulation last year, two of the most advanced AI agents in the world were given a critical security task. After a while one of them decided it had worked enough and convinced the other to take a break alongside it. The model had performed social engineering, on another AI model. Welcome to the new shape of #cybersecurity, where the attacker, the defender, and the negotiator are all artificial intelligences, and where the rules of every existing security play

The Crypto Miners Who Became the Backbone of the AI Era In 2017, two commodities traders whose hedge fund had just collapsed bought a stack of graphics cards on a whim, set up a mining rig in a New Jersey garage, and started producing Ethereum. Eight years later, their company went public at a $35 billion valuation, count Microsoft, OpenAI, Meta, and Anthropic among their largest customers, and operate a contracted backlog of $66.8 billion. That company is CoreWeave, and its

The problem Databricks set out to solve is one every large company executive recognizes even if they don't know the technical name for it: fragmented data architecture. Before Databricks, companies lived with a painful split. Most organizations had to maintain two separate data systems that rarely worked well together. Data warehouses stored structured, curated data used for reporting, finance, and dashboards. Data lakes, by contrast, held large volumes of raw, unstructured