tell you about the technical stuff, but I'll keep it simple. This model was trained on 7. 5 trillion tokens. 70% of that was code. Not just any code. Highquality working code from real projects. But here's the key part. They didn't just feed it code and hope for the best. They used reinforcement learning to teach it how to write code that actually works. Most AI models learn by predicting the next word. Quen 3 coder learned by actually running code and seeing if it worked. If it broke, the model learned from that mistake. That's why the code it generates is so much more reliable than what you get from other models. And the languages it supports. Pretty much everything. Python, JavaScript, Java, C++, Go, Rust, PHP, Ruby, Swift. If you code in it, Quen 3 coder probably knows it. But here's something really cool. It doesn't just write code. It understands code architecture, design patterns, best practices. It's not just generating random code that happens to work. It's writing code like a senior developer would write it. Clean, maintainable, efficient code that follows industry standards. Now, I know some of you are wondering about the hardware requirements because a 480 billion parameter model sounds like it would need a data center to run. Here's the beautiful thing about the mixture of experts architecture. You don't need nearly as much hardware as you think. People are running this on single GPUs. With enough RAM, there are quantized versions that make it even more efficient. Some folks are running it on 24 GB of RAM plus some system RAM. That's not cheap, but it's not super computer money either. And if you don't want to run it yourself, there are services popping up that let you use it through an API. Much cheaper than the big closed source models. But let me tell you about something that's going to change the game completely. This model can do something called fill in the middle coding. You give it code with gaps and it fills in exactly what should go there. Not just any code, the right code that fits perfectly with the existing codebase. Imagine refactoring a huge project. Instead of spending weeks understanding how everything connects, you can have this AI analyze the entire codebase and suggest improvements. It sees patterns you might miss, catches potential bugs before they happen, or think about code reviews. This thing can review pull requests better than most senior developers. It understands the full context of the project and can spot issues that humans might overlook. But here's where it gets really powerful for businesses. You can fine-tune this model on your own codebase, teach it your coding standards, your architecture patterns, your business logic. After that, it's not just a generic coding AI. It's your coding AI. It writes code that looks like your team wrote it, follows your standards, understands your domain, and because it's open source, you can do all of this without sending your proprietary code to some thirdparty service. Your code stays on your servers under your control. And if you want to take this further, here's what you need to do. First, my AI profit boardroom is the best place to scale your business, get more customers, and save hundreds with AI automation. We currently have 1,000 members who are all using cuttingedge AI to grow their businesses. This is where you want to be to stay ahead of everything that's coming. Second, if you want a personalized strategy for your business, book a free SEO strategy session. The link is in the comments and description. We'll show you exactly how to use AI and SEO to dominate your market. And third, we have a complete SOP and process inside the AI success lab. Link in the comments and description. You'll get all the video notes from today, plus over 100 different use cases and tutorials. We have 14,000 members in there, and they're all getting results with AI. Don't miss out on being part of something bigger than yourself. The future of coding is here. It's open source, it's free, and it's incredibly powerful. The question isn't whether AI will change everything, it's whether you'll be ready when it does. Thanks for watching, and I'll see you in the next one.