Editor’s note: The authors are opening a blog series on the timely topic of system intelligence and the future of systems research with the intelligence as a new capability. They are actively looking for contributors to share ideas, viewpoints, and experiences. Why This Blog Series? Generative AI, as represented by Large Language Models (LLMs), has … Read more
Editor’s note: This article is cross-posted from SIGARCH. We believe that the article is of importance to SIGOPS conferences and thus republish as a SIGOPS blog post to disseminate the message further. In computer architecture conferences, “expert”/”knowledgeable” reviewers often are conflicted intellectually with at least some of the submissions they review (e.g., the submissions directly … Read more
Reproducibility is a cornerstone of scientific progress, yet in systems research, it remains a persistent challenge. Over the past five years, the Artifact Evaluation (AE) process at the European Conference on Computer Systems (EuroSys) has aimed to address this challenge head-on. In this blog post, we reflect on what we have learned from organizing AE … Read more
The past few years have witnessed a staggering acceleration in the capabilities of large language models (LLMs). What began as an intriguing toy for autocomplete has evolved into sophisticated tools capable of summarizing research papers, drafting technical arguments, and even simulating expert‑level discussion. As these models continue to improve at an astonishing rate, the question … Read more