Architecture 2.0: Designing AI-Assisted Loops for Computing Systems (arch2.mlsysbook.ai)

A new paradigm in computer architecture, termed "Architecture 2.0," seeks to redefine the role of AI-assisted design loops in the creation and evaluation of computing systems. This approach shifts the focus from simply generating artifacts to evaluating the credibility of AI-produced claims concerning design proposals, such as accelerator configurations and energy-efficient kernels. The book articulates how these design loops should be structured to ensure they include visible states, allowed actions, and accountability measures for their results. By documenting these aspects through a “design-loop card,” the framework establishes clear parameters for evidence and validation, paralleling the journey of benchmarking in machine learning that turned vague claims into credible evidence. This significant shift emphasizes the importance of systematic evaluation in AI-assisted architecture, echoing the lessons learned from machine learning. The framework not only enhances the quality of architectural design but also highlights the responsibilities of human architects in overseeing design loops. By treating these loops as integral components of architectural practice, the method aims to elevate the standards of credibility, comparability, and evidence in creating advanced computational systems, ultimately influencing both hardware and software co-design. This evolution reflects a broader integration of AI in technical disciplines, underscoring the need for rigorous governance in leveraging AI’s capabilities effectively.