GLM-4.7: Open-Source Agentic Coding Gets Better!

GLM-4.7 is a new open-source model focused on agentic coding, terminal workflows, and tool use. In this video, I walk through: • What actually changed from GLM-4.6 • How GLM-4.7 performs across coding, reasoning, and agent benchmarks • Why improvements in SWE-bench, Terminal Bench, and τ²-Bench matter in practice • Frontend and creative demos to see how the model behaves beyond numbers Link to try GLM-4.7: https://chat.z.ai/ For hands-on demos, tools, workflows, and dev-focused content, check out World of AI, our channel dedicated to building with these models: ‪‪ ⁨‪‪‪‪‪‪‪@intheworldofai 🔗 My Links: 📩 Sponsor a Video or Feature Your Product: intheuniverseofaiz@gmail.com 🔥 Become a Patron (Private Discord): /worldofai 🧠 Follow me on Twitter: /intheworldofai 🌐 Website: https://www.worldzofai.com 🚨 Subscribe To The FREE AI Newsletter For Regular AI Updates: https://intheworldofai.com/ #GLM47 #AgenticCoding #OpenSourceAI #AICoding #UniverseOfAI GLM-4.7, GLM 4.7, GLM AI, Zhipu AI, open source AI model, agentic coding, coding agents, AI coding model, SWE-bench, Terminal Bench, tau2 bench, BrowseComp, AI benchmarks, LLM benchmarks, AI for developers, AI agents, coding with AI, frontend AI, AI demo, GLM vs Claude, GLM vs GPT, open source LLM, AI tooling, Universe of AI 0:00 - Intro 0:23 - What's New! 1:25 - Benchmarks 4:37 - Frontend Design Capabilities 5:48 - Interactive Website 6:55 - Voxel Temple 9:10 - Outro