The AI landscape just experienced a massive earthquake and it didn't come from OpenAI, Anthropic or Google. Welcome back to the channel. Today we are looking at a complete monster of a model GLM5.1 by Jepu AI. What you are looking at is a 744 billion parameter open- source agenic AI. But here's the crazy part. This entire system was trained without a single NVIDIA GPU. It was built entirely on domestic Huawei Asin chips, completely bypassing the global GPU shortage and export bands. This is not just a chatbot. This is a fully autonomous engineering agent with an 8-hour execution window. It features a 200,000 token context limit. It is 100% free under an MIT commercial license. And it is about to change how we build software forever. If you think I'm hyping this up too much, look at these official S.Bench Pro scores. GLM 5.1 is officially outperforming GPT4 and Anthropics Claude 3 Opus in software engineering tasks. It scored a massive 58.4 on S.WE. Under the hood, it operates on a highly advanced mixture of experts architecture. While it has 744

billion total parameters, it only activates 40 billion parameters per forward pass, meaning it is incredibly compute efficient while delivering frontier level intelligence. It literally uses DeepSseek's sparse attention algorithms to manage massive repositories without crashing. Now, before I show you the most insane 8-hour autonomous coding demonstration I have ever seen, you need to listen closely. While the rest of the internet is just finding out about this, my private school community has been preparing for it. Inside the AI money forge, we just crossed 310 members and I just dropped a massive new module inside the classroom tab. We are completely breaking down the leaked claude mythos and capibara modes and giving you the exact standard operating procedures to integrate these open-source titans into your business today. If you want my personal API blueprints and exact prompt templates, it is 100% free to join right now. Do not get left behind. Click the link in the description, get inside the forge, and start building. But all of that is child's play compared to this. The question is, what if a model can code for eight hours straight? Let GLM 5.1 show you. The prompt is simple. Build a

web-based Linux replica with 50 plus fully functional apps. After 1 hour, the AI has autonomously planned the system architecture, built the back-end API routes, and established the UI dashboard. After 2 hours, it has fully built a working file explorer and a live music visualizer directly inside the browser. After four hours, it has coded a fully functional web browser inside the replica that can actually search Google. After 5 hours, it engineers a complete Telegram style instant messaging application. By the 8 hour mark, the AI has run its complete cycle. Look at this desktop. It built one complete Linux operating system, entirely web- based, featuring over 50 fully functional applications, delivered entirely from scratch with zero human intervention. This is what True Autonomous Agency looks like. If you want the step-by-step breakdown of how to run this model locally, it is waiting for you inside the school group. Hit subscribe, click the link below to join the forge, and I will see you in the next video. Let's jump back into what makes GLM 5.1 a true anomaly. Look at this capability right here. 8 hours, one task, zero interruptions. This AI

employs a proprietary break and repair methodology. You give it a highle task and it will autonomously plan the architecture, write the code across multiple files, execute its own test suites, intentionally break the system to find vulnerabilities, and then fix them without you lifting a finger. It even comes with a Cogvit visual encoder, meaning you can upload a mockup or a screenshot, and it will instantly translate that UI design into functional, responsive HTML and CSS. No prompting required. And because it is MIT licensed, you can deploy this into your production builds today, completely royalty-free. Let's look at these rapidfire capabilities. First, the sketch to code feature. The user literally handdraws a wireframe for a music app on a digital canvas. They hit generate and GLM instantly spits out the exact CSS and JavaScript to create a fully functional sleek resonance music player. Next, the screenshot to code. They feed it a complex 3D product render mockup of a sneaker and hat store. In seconds, the AI outputs a perfectly formatted iPhone app interface that matches the reference exactly. It can even take a static image and code out a

generative audio synth script using strudel, completely bridging the gap between visual input and logic. And just to prove how much better this is than the previous version, look at this canvas test. GLM5 fails to properly animate a fractal tree, while GLM 5.1 flawlessly generates the recursion, animating a full leaf covered tree in real time. This is what true autonomous agency looks like. If you want the step-by-step breakdown of how to run this model locally, it is waiting for you inside the school group. Hit subscribe, click the link below to join the forge, and I will see you in the next video.