Glm 5on Novitaai A Deep Dive Into The Paradigm Shiftfrom Vibe

Computer Science > Machine Learning [Submitted on 17 Feb 2026 (v1), last revised 24 Feb 2026 (this version, v2)] Title:GLM-5: from Vibe Coding to Agentic Engineering View PDF HTML (experimental)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 decoupling generation from training. Furthermore, we propose novel asynchronous agent RL algorithms that further improve RL quality, enabling the model to learn from complex, long-horizon interactions more effectively. Through these innovations, GLM-5 achieves state-of-the-art performance on major open benchmarks. Most critically, GLM-5 demonstrates unprecedented capability in real-world coding tasks, surpassing previous baselines in handling end-to-end software engineering challenges. Code, models, and more information are available at this https URL.

Submission history From: Aohan Zeng [view email][v1] Tue, 17 Feb 2026 17:50:56 UTC (3,731 KB) [v2] Tue, 24 Feb 2026 10:44:44 UTC (3,731 KB) References & Citations export BibTeX citation Loading...

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