You have probably sat through architecture reviews that felt like theater. Slides polished. Diagrams immaculate. Everyone nodding. Then three months later, you are firefighting cascading timeouts in production because a
You shipped your first retrieval augmented generation feature in a sprint. The demo worked. Semantic search felt magical. Six months later, relevance is drifting, infra costs are spiking, and your
You know the moment. The roadmap is slipping, the board wants a launch date, and your team is one migration or refactor away from missing the quarter. Someone suggests a
India opened a four-day artificial intelligence summit this week, drawing top executives from major AI labs and Big Tech, along with heads of state. The gathering places New Delhi at
You do not optimize your way to millions of requests per minute. You architect your way there, then you operate your way there. At that load, the enemy is not
At some point, every production database surprises you. It might be a sudden spike in write latency at 2:00 a.m., or a replica that falls behind for no obvious reason.
John Martinis, the physicist who helped spark the modern race in quantum computing, is pursuing a fresh approach that he believes could lead to far more capable machines. The former
Sen. Bernie Sanders is calling for a moratorium on new artificial intelligence data centers, arguing the rapid buildout needs stronger oversight to protect workers, communities, and the grid. The proposal
National Economic Council Director Kevin Hassett called for action against New York Federal Reserve researchers after they reported that American businesses and consumers bear most tariff costs. The comments came