Agents

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 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 ...

AI is beginning to shape both the research process and the infrastructure that supports it. Anthropic’s use of Claude in its own R&D, Crusoe’s funding and higher GPU-cloud prices show different sides of the effort to scale these systems. The edition also follows conversational advertising and the software supply chain forming around agents, two areas where new interfaces bring new operational questions. In this edition — jump to a story ...