Startups

As AI agents take on more complex development tasks, coordinating their work and controlling their actions become increasingly important. Anthropic and Arcjet approach these challenges from different angles, while AWS and Euclyd address the infrastructure constraints of running AI models efficiently. Beyond development and infrastructure, Google Discover is testing how AI-generated overviews could reshape the way readers explore published content. All sources used to prepare this edition are listed at the end of the article. ...

AI is moving beyond individual tools to reshape how technology operates. From an AI-directed biology lab to intent-driven infrastructure, today’s stories show systems taking on more of the work that once required direct human coordination. That shift also puts security boundaries, data-centre networking and user interfaces under scrutiny. The challenge is not only what these systems can do, but how they can be deployed and controlled. In this edition — jump to a story ...

AI agents are reaching beyond the chat window, bringing new questions about who controls the systems they can access. Google Home’s agent integrations and Mandiant’s security architecture put those boundaries in focus, while Virginia’s data-centre measures raise questions about the physical footprint of AI services. The edition also explores machine forecasting as a product category and the role of proprietary data in ad-tech consolidation. In this edition — jump to a story ...