This NEW Chinese AI is INSANE (FREE + OpenSOURCE!)

Today I'm going to show you a brand new Chinese AI that just dropped and it's completely free. This thing can browse the web like a human researcher would. It's got 30 billion parameters but only uses three billion at a time. And the crazy part, it's totally open source, so anyone can use it right now. This could change how we all do research forever. Stick around because I'm going to show you exactly how to get it running. Look, I've seen a lot of AI releases this year. Most of them are just hype, but what Alibaba just dropped, this is different. They just open sourced something called Tongi Deep Research. And before you click away thinking this is just another boring AI model. Let me tell you why this matters. This isn't just another chatbot. This is an AI agent that can actually browse the web and do real research for you. And it's completely free. I'm talking about the kind of research that would take you hours. This thing can do it in minutes. And I'm going to show you exactly how it works. Most AI models you've heard of are what we call dense models. That means when you ask them a question, they use all their brain power to answer. is like using a sledgehammer to crack a nut. Tongi Deep Research is different. It uses something called mixture of experts architecture. Think of it like having 30 billion brain cells, but only turning on 3 billion when you need them. This means it's got the power of a massive AI, but it runs way cheaper and faster than you'd expect. And here's the kicker. While everyone else is keeping their AI agents locked behind pay walls, Alibaba just gave this away for free, complete with all the code you need to run it yourself. Right now, if you want an AI that can browse the web and do research, you're looking at paying open AI or anthropic monthly fees. And those fees add up fast. But with Tongi Deep Research, you can run your own research agent. No monthly fees, no limits, just pure AI power that you control. Most companies just release their AI models and say good luck. Alibaba did something different that they released the entire playbook. They show you exactly how they trained it step by step from the raw data all the way to the final model. They started with continual pre-training where they fed it massive amounts of web data, then supervised fine-tuning where they taught it to use tools properly. Finally, reinforcement learning to make it better at multi-step reasoning. Now, let me show you how this thing performs. On the humanities last exam benchmark, it scored higher than most closed source models. We're talking about beating models that cost hundreds of dollars a month. On browse comp, which tests web browsing skills, it crushed the competition. And on long form research tasks, it performed at the level of premium AI agents. But benchmarks are just numbers. Let me show you what happened when I tested it. I asked it to research the latest advances in AI agents with proper sources. Firstly, it broke down my question into smaller parts. Then it started browsing different websites, research papers, news sites, company blogs. But here's where it gets impressive. It didn't just copy and paste. It read through multiple sources and created a real summary. Every fact had proper citations, no hallucinated garbage. The whole thing took three minutes. That same research would have taken me at least an hour. Now, you're probably wondering how to get this. Here's exactly what to do. Go to GitHub and search for Alibaba NLP Deep Research. The repo has everything. Installation guides, example code, pre-built scripts. You can also find it on HuggingFace. Search for Tongi Deep Research 30B A3B. Links are in the description. If you want to run it locally, you'll need a decent GPU, at least 24G LA VRAM for the full model. But because it's mixture of experts, you can run smaller versions on as little as HD. The setup is simple. Clone the repo, install requirements, and you're ready to go. But let me give you a heads up. Just because it's open source doesn't mean it's risk-free. This AI can browse the web and call tools, set up rate limits, keep humans in the loop, don't give it access to anything sensitive. Here's why this release is huge. This is the deepseek moment for AI agents. When powerful tools become free and open, innovation explodes. For businesses, instead of paying monthly fees, you can run your own research tool. For developers, you get a complete AI agent framework. For researchers, you can reproduce and improve on their work. Let me show you some practical uses right now. Content marketers can research topics and gather sources in minutes instead of hours. Business developers can analyze competitors and market trends automatically. Academics can do literature reviews and track citations. The possibilities are endless. And because it's open source, you're not limited by what some company decides to offer. Here's what I predict happens next. We'll see specialized versions for different industries. Medical research agents, legal research agents, financial analysis agents. We'll see this integrated into existing tools, research features in document editors, automated background research for CRM, intelligent content planning, and competition will respond. Open AI and others will have to step up or risk being left behind. The repo includes something called IT to research mode. This is where the AI does multiple rounds of research, refining its understanding each time, like having a research assistant that keeps digging until they're confident they got it right. I tested this on a complex business question. The difference

between the first try and final result was night and day. The final analysis was thorough and backed up with solid sources. Now, let's be real. This isn't perfect. It makes mistakes. It can hallucinate and it doesn't understand context like humans do. But as a tool to speed up research and handle routine information gathering, it's incredibly powerful. And since it's open source, the community can fix its problems. We're already seeing improvements and specialized versions. Here's my advice for getting the most out of this. Be specific with your requests. Verify important information. Try different approaches if the first result isn't perfect. Now, I want to share something that really caught my attention about this release. Alibaba didn't just dump the model and walk away. They provided comprehensive documentation, working examples, and even performance analysis. The GitHub repo includes everything from basic setup guides to advanced fine-tuning techniques. They actually thought about the developer experience. Most AI releases don't do this. This tells me they're serious about building a community around this technology. And that's huge news for anyone who wants to use it. Let me give you one more practical example. I asked it to research the competitive landscape for AI coding assistance, not just the big names like GitHub Copilot, but also new tools and open source alternatives. It browsed dozens of websites, analyzed features, looked at pricing, and even found user reviews I hadn't seen before. The final report was better than anything I could have made manually, and it took less time than just making a list of tools to research. This is what having a real AI research assistant looks like. It actually understands how to gather and make sense of information. Here's what makes this even more interesting. While Western AI companies are getting more closed and secretive, Chinese companies are going the opposite direction. Alibaba, Deep Seek, and others are releasing state-of-the-art models with complete transparency. That creates competitive pressure, and honestly, that's good for everyone. When companies compete on merit instead of keeping secrets, we all win. The bottom line is this. Alibaba just gave us research grade AI agent technology for free. This was locked behind corporate walls just months ago. Whether you're a developer, researcher, content creator, or business owner, this opens up new possibilities for gathering and analyzing information. This isn't just another AI model release. This is how we'll interact with information in the future. Julian Goldie reads every comment, so make sure you comment below. Are you planning to try this out? What research tasks would you use it for? If you want to stay ahead with AI developments like this, you need to join my AI profit boardroom. It's the best place to scale your business, get more customers, and save hundreds with AI automation. Link is below. Also, want to make more money with AI? Welcome to the free AI money lab with Julian Goldie. Inside, you'll get 50 plus free AI tools and 200 plus chat GPT SEO prompts. You'll learn how to make money with AI agents, get 1,000 plus free n workflows and 200 plus chat GPT prompts, and you'll get a full blueprint to generate thousands of leads free with AI. You also get access to our free AI community, free AI course, and proven AI case studies. Links are in the description. Don't sleep on this. AI is moving fast, and those who adapt first win big. Thanks for watching and I'll see you in the next