The Return of Rigorous Full-System Timing Simulation Accurate timing simulation remains one of the most important tools in computer...

When an agent makes an incorrect guess, the obvious mistakes like bad files or stale outputs are straightforward to see. However, there are less visible leaks that pose significant risks, such as timing patterns or cached context. The context and data exchanged between tools, services, and third-party systems can also be problematic. This situation becomes particularly concerning when AI agents take action before fully understanding the task at hand. This leads to an important question: Who holds the responsibility for addressing the residue left behind by agentic mistakes?

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Architecture & Systems are Changing: The Architect's Role in the Era of Agentic Co-Design The AI datacenter stack is built on...

TL;DR: The history of parallel computing is a history of shifting what we put at the center of the computer. The first axis, control-level...

Editor's Note: this post is a republication of CRA-I post available at:...