08:26shao__meng@shao__meng78°Uber 在全公司落地 AI Coding Agent,70%+ 的 Pull Request 由 Agent 完成。团队自建 3600 个 Skills,每天执行 3 万次。周活跃用户增长 7 倍,周请求量增长 9.4 倍,但总 AI 支出自 4 月起基本持平。固定同一模型做对照,每千次请求成本下降 34%,每会话成本下降 52%。技巧UberAI Coding AgentSkills推荐理由:Uber 分享了如何用六因子成本方程优化 AI Coding Agent,包括模型选择、Token 压缩和上下文工程等实用技巧。原文稍后读已读值得跟进有用关注 Uber
11:21官方账号arXiv cs.LG@Ahmad Khan, Akram Bin Sediq, Sara Azadegi Naeini, Raviraj S. Adve精选This paper introduces Agentic Autoresearch, an AI coding agent that designs machine learning algorithms for wireless resource management. The agent, using the autoresearch protocol, achieves $99.5\%$ of a converged minorization-maximization reference in one fixed-cost inference pass, with significantly lower inference cost and improved performance compared to its initial architecture. The agent's decisions are safeguarded by a hash-pinned evaluator and a pre-registered falsifier per experiment.论文Agentic AutoresearchMachine LearningWireless Resource Management推荐理由:Check out this groundbreaking research where an AI agent designs machine learning algorithms for wireless resource management, achieving impressive results with lower inference cost and improved performance compared to initial architectures.原文稍后读已读值得跟进有用关注 Agentic Autoresearch