Hey there, fellow AI enthusiasts! Have you ever felt overwhelmed by the sheer volume of new research papers on arXiv? I know I have. That’s why I was excited to stumble upon a project that aims to create a daily or weekly digest of the most relevant AI and machine learning papers. The idea is to filter out the noise and bring you the most important papers in categories like cs.AI, cs.CL, cs.LG, and cs.CV. Each paper would be scored and ranked based on factors like citation counts, author reputation, key terms in the abstract, and even GPT-based scoring for breakthrough relevance. The output would be a curated list of top papers per category, complete with summaries, metadata, and explanations of why each paper is noteworthy. The goal is to help researchers, engineers, and enthusiasts like us stay up to date without having to sift through hundreds of abstracts every day. But here’s the question: would you find a service like this valuable? Would you be willing to pay a small monthly fee for it? Let me know in the comments! And if you’re already using a similar tool, I’d love to hear about it.
