发表机构
Meta Reality Labs Silicon; Meta Reality Labs Research; Meta FAIR; New York University; Stanford University（Meta Reality Labs Silicon; Meta现实实验室; Meta FAIR; 纽约大学; 斯坦福大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文联合学术界与工业界视角，强调硅片设计基础在AI原生时代的重要性，以推动社区向AI原生硅片未来过渡。
AI 中文摘要
智能体AI（Agentic AI）有望成为未来几代人中最具变革性的技术之一，并将实质性改变我们进行硅片设计与工程的方式。在快速变化的格局中，这种影响正在实时显现，这可能使硅片从业者和学术界人士都感到难以适应AI原生的硅片设计时代。为了给如何应对这一转型提供结构化的指引，我们提供了来自学术界和工业界硅片从业者的联合视角，阐述我们预期将推动社区向AI原生硅片未来过渡的挑战、机遇和考量。特别是，我们重新强调了核心硅片设计基础在学术训练中的重要性，以及为何这些基础在AI原生硅片设计的研究和工业实践中重新具有重要性。我们希望这里提供的观点能为学术界和工业界的人士提供有价值且互补的视角，以解读、启发并推动向AI原生时代的过渡。我们预期会出现许多类似且重叠的观点，但不同利益相关者的具体技术细节会有所不同，因此社区积累多样化的观点是有价值的。
英文摘要
Agentic AI is set to become one of the most transformational technologies in generations and materially change how we approach silicon design and engineering. The impact is being felt in real time amid a rapidly changing landscape, which can make it overwhelming for both silicon practitioners and academics to adapt to the AI native silicon design era. To add structure to how we navigate this transition, we provide a joint view from academia and industry silicon practitioners of the challenges, opportunities, and considerations we expect will catalyze how the community transitions into an AI native silicon future. In particular, we reemphasize the importance of core silicon design fundamentals in academic training and why they have renewed importance in research and industry practice for AI native silicon design. It is our hope that the views provided here will offer valuable and complementary perspectives to those in academia and industry to interpret, inform, and catalyze the transition to the AI native era. We expect that many similar and overlapping views will emerge, but the precise technical details will differ across stakeholders, so it is valuable for the community to amass a diversity of viewpoints.
Comments20 pages, 13 figures, 3 tables
