GLM 5.2: NEW Chinese AI is INSANE! 🤯

Jun 14, 2026Channel
AI Analysis
Data from YouTube Data API v3Updated Just now

Video Overview

Video Details

Published1 month ago
Duration10:15
Video IDQmw8YBWcTis
Languageen-GB
CategoryEducation
PrivacyPublic
Made for KidsNo
Video TypeRegular Video

Performance Metrics

Views3.6K
Likes54
Comments13
Engagement Rate1.87%
Likes per 100 views1.51
Comments per 1K views3.63

Description

Get the Agent OS + GLM 5.2 Setup 👉 https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts Get out SEO link building book here 👉 https://go.juliangoldie.com/opt-in?utm=julian GLM 5.2 Just Dropped: Building 3D Games, an Agent OS, and Content Fast (Zed AI) The script showcases China’s new GLM 5.2 flagship model from Zed AI and what the creator has built with it within a few hours, including multiple 3D/open-world style games, an agent “operating system” with apps and a CLI integration, and visual experiments like particle galaxy/fireworks and plasma wallpapers. They explain they improved earlier projects made with Kimi K 2.7 by plugging them into GLM 5.2, and also used a Kanban-orchestrated team of AI agents to script and assemble an AI-avatar video with music and to create an SEO-optimized blog with three articles. They highlight GLM 5.2’s coding plan value, planned local/open-source availability, 1M-token context window, long-horizon performance, compatibility with existing tools, and how to access it via API and CLI. 00:00 GLM 5.2 Demo Builds 00:50 How The Games Were Made 01:19 Agent OS And CLI Apps 01:55 Video And Blog Automation 02:46 Local And Open Source Plans 03:34 More Fun Project Demos 04:06 Specs And Ecosystem Integrations 04:57 Pricing Setup And Workflow 05:54 Agent OS Memory And Switching Models 07:37 How To Get Started Fast 08:09 Limitations And Buggy Bits 08:21 Wrap Up And Recommendation 08:32 AI Profit Boardroom Pitch 09:30 Community Training And Support 10:12 Final Call To Action

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