387 upvotes · 2 SEP 2026 · Jianlyu Chen, Yuyang Hu, Hongjin Qian et al.
This paper creates a system that extracts and distills AI skills from GitHub repositories to help autonomous agents learn and perform machine learning tasks more efficiently. Practitioners might care because it could improve the performance of AI research agents in real-world applications.
168 upvotes · 30 JUL 2026 · Junlin Yang, Che Jiang, Yu Fu et al.
This paper trains an AI model to improve itself in the process of building AI, with a focus on machine learning engineering, and shows promising results in various benchmarks. Practitioners may care about this research as it could lead to more efficient and autonomous AI development.