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Explore China's New AI Broke the Bug Bounty (2,436 Findings) with 9,630 views, 165 likes, and 13 comments. Experience the impact of this video content that has captured audience attention.

A 45-year-old security flaw written into open-source code in 1981 was just discovered by China's new GLM-5.3 model. Meet the 753-billion parameter model from Z.AI that scanned 269 major software projects, uncovered 2,436 zero-day vulnerabilities, and forced a 2-week safety embargo before releasing its weights. 🔔 Subscribe: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w?sub_confirmation=1 💙 Become a Member: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w/join 🐦 Twitter/X: https://x.com/cloud_codes 💬 Discord: https://discord.gg/4kJqEBMMf In this deep dive, Cloud Codes breaks down the system design, post-training RL mechanics, and cybersecurity benchmarks behind Z.AI's GLM-5.3. We analyze why scaling post-training alone boosted Terminal Bench v3 scores from 4.6 to 28.3 on identical 753B parameter weights, explore how defense-focused training accidentally created multi-stage exploit chain reasoning, and audit its 84.5% score on CyberGym alongside a 54.4% score on ExploitBench. Furthermore, we dissect GLM-5.3's public disclosure ledger spanning Linux kernel, WebKit, FreeBSD, and Suricata, expose the 38x throughput gap between vendor claims and independent benchmarks, review JFrog's report on AI-hallucinated CVE advisories, and evaluate why automated vulnerability discovery will overwhelm open-source maintainers. If this helped you understand backend architecture, system design, and how to build faster software, subscribe to Cloud Codes for a new infrastructure breakdown every single week! Build, solve, deploy. 🔗 Repositories & Sources Mentioned: • Z.AI Official Platform & GLM Models: https://z.ai/ • CyberGym Security Benchmark Leaderboard: https://cybergym.github.io/ • JFrog Research on AI-Generated CVE Advisories: https://jfrog.com/blog/ • National Vulnerability Database (NVD): https://nvd.nist.gov/ • Terminal Bench 3.0 Leaderboard: https://terminalbench.com/ ⏱️ Video Chapters: 0:00 - The 1981 Open Source Bug (Older Than Windows) 1:08 - The 2026 Model Blitz: 4 Frontier Launches in 3 Days 2:18 - Scaling Post-Training: How 753B Weights Jumped 6x 3:33 - Weaponized Reasoning: How Defense Training Created Exploits 5:05 - The Public Disclosure Ledger: 2,436 Vulnerabilities Found 6:19 - Independent Audits: CyberGym & The Hallucination Rate 8:26 - AI-Generated CVE Slop & The NVD Backlog Crisis 9:55 - Final Verdict: Defender Breakthrough or Maintainer Crisis? #glm53 #cybersecurity #ai #systemdesign #cloudcodes #machinelearning #linux #softwareengineering #python #devops User Queries: glm 5 3 china ai 45 year old bug 1981 z ai glm 5 3 vulnerability discovery 2436 findings glm 5 3 cybergym exploitbench score why z ai is delaying glm 5 3 open weights two weeks scaling post training terminal bench v3 glm 5 3 glm 5 3 vs opus 4 8 coding output tokens jfrog ai generated cve advisories nvd backlog glm 5 3 linux kernel webkit freebsd vulnerabilities defense only cyber model weaponized exploit chain cloud codes glm 5 3 breakdown

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