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📄 GLM-5: from Vibe Coding to Agentic Engineering 👥 Authors: GLM-5-Team, :, Aohan Zeng, Xin Lv, Zhenyu Hou (+182 more) 📅 Published: 2026 | arXiv:cs.LG 🏷️ Topics: model, coding, asynchronous, foundation, designed ABSTRACT: We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (ARC) capabilities of its predecessor, GLM-5 adopts DSA to significantly reduce training and inference costs while maintaining long-context fidelity. To advance model alignment and autonomy, we implement a new asynchronous reinforcement learning infrastructure that drastically improves post-training efficiency by decoupli... TIMESTAMPS: 00:00 - Introduction 01:18 - Exactly! Think of it like... 02:26 - Wait, 200,000 tokens? Thats like... 03:47 - Asynchronous reinforcement learning infrastructure. Thats... 04:49 - It really is. This decoupling... 05:55 - Look at this. The paper... 07:02 - So, this isnt just about... 08:23 - Wait, they released it anonymously?... DISCLAIMER: This video contains AI-generated synthetic voices inspired by public figures. These voices are artificially created and do not represent the real persons. This content is for educational and research purposes only and is not affiliated with, endorsed by, or sponsored by Chuck Nice, Neil deGrasse Tyson, or any associated organizations. #AIResearch #MachineLearning #DeepLearning #ResearchPaper #PaperSummary #ReinforcementLearning