These 3 NEW Chinese Autonomous AI Agents are INSANE…

These three new Chinese autonomous AI agents are insane. Today, I'm going to show you three brand new Chinese AI agents that just dropped, and they're completely insane. These things can research the web like humans, create 3D models from just text, and control your computer with zero human help. And here's the crazy part. They're all totally free while everyone else charges hundreds. I'm talking about AI that can do hours of work in minutes. This could change everything about how we run our businesses. Stick around because I'm going to show you exactly how to use each one right now. 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. It's 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 AAI 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 an 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 8GB. 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 Deep Seek 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. is 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 nat 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 one. TAR, new free Chinese computer use AI agent is insane. Today, I'm going to show you a brand new AI agent called UI TAR that can control your computer like a human. This thing is from Bite Dance, and it's completely free. It can click, type, scroll, and do basically anything you can do on your screen. And we're talking about an AI that watches your screen and takes actions just like you would. This could change everything about how we work. And I'm going to show you exactly how to use it right now. So, UITARS from Bite Dance has been making waves and this is big. We're talking about an AI agent that can see your computer screen and control it just like a person would. They released UITARS 2 this month and it's a complete gamecher. And here's the crazy part. It's free and open source. Now, before I dive into this, let me show you exactly what this thing can do with real examples. Bite Dance just released demo videos showing UITARS in action, and they're mind-blowing. UITAR's two capabilities are absolutely insane. It's what they call an all-in-one agent model. This means it can handle GUI tasks, gaming, coding, and tool use allinone unified system. Bite dance show UI tars handling complex multi-step workflows that would normally take humans hours to complete. We're talking about an AI that can navigate between different applications, understand context, and complete entire projects automatically. But here's where it gets really crazy. They showed UIS booking flights and hotels. Please help me book the earliest flight from San Jose to New York on September 1st and the last return flight on September 6th on Price Line. UITARS went to Price Line, searched for flights, compared options

and started the booking process. And get this, they gave it this complex task. I am in Los Angeles from September 1st to September 6th with a budget of $5,000. Please help me book a Ritz Carlton hotel closest to the airport on Booking. com and compile a transportation guide for me. UITAR handled the entire thing. It went to Booking. com, searched for Ritz Carlton hotels near LAX, compared prices, and even started working on a transportation guide. Speaking of getting ahead with AI tools, if you're serious about scaling your business with automation like this, you need to check out my AI profit boardroom. It's the best place to scale your business, get more customers, and save hundreds of hours with AI automation. We currently have over 1,000 members who are implementing these exact strategies. But more on that later. Now, I know what you're thinking. This sounds too good to be true, but Bite Dance is a massive company. They're the ones behind Tik Tok, and they just open source this entire project on GitHub for everyone to use for free. The technology behind UITARS is actually built on their UI 2 model and something called seed 1. 5VL. These are vision language models that can see and understand what's on your screen just like a human would. UI 2 was released back in September and it's a complete game changer. Here's how it works. U itars takes screenshots of your screen and uses AI to understand what it's looking at. It can identify buttons, text, fields, links, images, everything. Then when you give it a task, it breaks that task down into smaller steps and executes them one by one. And here's something really cool. UITARS comes in different model sizes. You can choose from 2B, 7B, or 72B parameter versions depending on your computer's power. Plus, you can run it locally on your own computer for complete privacy, or you can use their remote operators that run in the cloud. Both deployment options are completely free right now. The local version means all your data stays on your computer. Nothing gets sent to external servers. This is huge for businesses that deal with sensitive information. The remote version runs on Bite Dance's servers and can control virtual machines in the cloud. This is perfect if you want to automate tasks without using your own computers resources. Now, let's talk about what this means for businesses. This is where things get really exciting. Imagine having an AI assistant that can handle all your repetitive computer tasks. Data entry, research, form filling, software configuration, you name it. I've been following computer control AI for months, and UITARS is by far the most advanced free tool I've seen. The benchmarks are crazy. UI consistently beats GPT40 Claude and Google's Gemini across more than 10 different Go benchmarks. We're talking about state-of-the-art performance that's available to everyone for free. And let me show you some specific examples of what UI 2 can do. Right now, the benchmarks show incredible results. On OSWorld, which tests long context, GUI tasks, UIS gets a 42. 5% success rate. That beats OpenAI's operator at 36. 4% and Claude at 28%. On Windows Agent Arena, UITAR scored 42. 1% which is way better than previous models that only got around 29. 8%. And on Android World, it gets a 64. 2% success rate, showing it works great on mobile, too. But here's what really blows my mind. UI doesn't just click random buttons. It actually understands what it's doing. When it was booking that Ritz Carlton hotel, it knew to look for hotels near the airport. It understood the budget constraints. It made intelligent decisions throughout the process. This level of understanding is what separates UIS from basic automation tools. This isn't just recording and replaying actions. This is true AI that can adapt to different situations and handle unexpected scenarios. Now, let's talk about how to get started with UI tars. The installation process is pretty straightforward. You can download it from GitHub and it works on Windows, Mac, and Linux. They also offer something called agent tars which is even easier to use. You can run it with a simple command like mpx at agent tars li at latest and it will start up immediately. You can use it with different AI models too. They support anthropics claude bite danc's own models and other vision language models. This gives you flexibility in choosing the AI backend that works best for your needs. For beginners, I recommend starting with their remote operators. You don't need to install anything locally. You just click a button and you can start controlling virtual computers in the cloud. Once you get comfortable with the basic features, you can move to the local version for more control and privacy. The key is to start with simple tasks and gradually work your way up to more complex workflows. One thing I love about UI TAR is that it provides real-time feedback. You can watch it work and see exactly what it's doing at each step. This makes it easy to understand how it operates and where it might need guidance. Now, I want to talk about some limitations. UITARS is still new technology and it's not perfect. It

can sometimes struggle with websites that have unusual layouts or complex interfaces. It also can't handle tasks that require human judgment or creativity. But for rule-based repetitive tasks, it's incredibly powerful and the team at Bite Dance is constantly updating it. Been following the development of computer control AI for a while now and UITARS represents a major breakthrough. The fact that it's free and open source means anyone can access this technology and start experimenting with it. If you're running a business, you need to start thinking about how AI automation can help you scale. UITARS is just the beginning. In the next few years, we're going to see even more powerful tools that can handle increasingly complex tasks. The businesses that start experimenting with this technology now will be way ahead of their competitors who wait until everyone else is already using it. The businesses that start adopting these tools now will have a massive advantage over their competitors. While their competitors are still doing everything manually, they'll be using AI to automate their workflows and get things done faster and more efficiently. Now, if you want to stay ahead of the curve with AI automation like this, you need to be part of a community that's actually implementing these tools. That's why I created the AI money lab. We have detailed SOPs and processes that show you exactly how to implement tools like UITARS in your workflow. There are over 100 different use cases and step-by-step tutorials. The AI Money Lab has 19,000 members sharing strategies, case studies, and real results. You can get all the video notes, tutorials, and training materials. There's a link in the comments and description. The thing is, you see how we have a checklist of 100 different tutorials that are given away as freebies every day inside the community. You can get all the video notes and other resources along with all the trainings. And with 19,000 members, you'll be part of something much bigger than yourself. For anyone who's interested in learning more about AI automation and how to implement it in your business, I've got some resources that can help. In my AI profit boardroom, we dive deep into practical AI strategies that you can use to scale your business, get more customers, and save hundreds of hours with automation. We currently have over 1,000 members who are all implementing these strategies in their businesses. The thing about tools like UITARS is that they're changing so fast. What's possible today is completely different from what was possible 6 months ago. And six months from now, we'll probably have even more powerful tools. That's why it's so important to stay connected with a community of people who are experimenting with this technology. In the AI profit boardroom, we share new tools, strategies, and case studies as soon as they become available. I want to emphasize how important it is to start experimenting with this technology. Now, even if you just spend 30 minutes a week testing it out, you'll start to understand how it works and where it could fit into your business. The learning curve isn't that steep, but the potential impact is huge. And since it's free and open source, there's really no reason not to try it out. I also want to mention that Julian Goldie reads every comment on these videos. So if you have questions about UITAS or AI automation in general, make sure to comment below. He's always looking for ways to help people implement these technologies successfully. Bite Dance releasing UITARS as open source is a gamecher. It means small businesses and individual entrepreneurs can access the same AI automation technology that big companies use. This levels the playing field in a way we've never seen before. A one-person business can now automate tasks that used to require entire teams. The businesses that recognize this opportunity and act on it quickly will have a massive competitive advantage. They'll be able to operate more efficiently, serve more customers, and focus on high value activities that drive real business growth. UITARS represents a major breakthrough in AI automation. It's the first truly powerful, completely free computer control AI that anyone can use, and it's just the beginning of what's possible with this technology. The examples I showed you today from Bite Dance's demos are just scratching the surface. As more people start using UITARS and contributing to the open- source project, we're going to see even more incredible use cases. If you're serious about scaling your business with AI, I'd also recommend booking a free SEO strategy session. During these sessions, we can discuss how AI tools like UITARS could fit into your specific business model and marketing strategy. The fact that this technology is free and available to everyone means there's no excuse for not staying ahead of the curve. Your competitors are probably already looking at tools like this. Don't get left behind. Start experimenting with UITAS today and see how it can transform your business operations. The potential is incredible and we're just getting started. Hunuan 3, the new Chinese AI destroys Google Veo3. Today I'm going to show you the new Chinese AI that just dropped and it's absolutely insane. This thing creates 3D models from just text or images in seconds and it's completely free while Google charges you hundreds for their stuff. I'm talking about crazy

detailed 3D assets that look like they cost thousands to make. Plus, I'll show you exactly how to use it and compare it to Google's V3. This could change everything for creators and businesses. Tencent just announced Hun Yuan 3D D3. 0 and they're claiming three times better accuracy than before. We're talking ultra high resolution up to 1,536 cubed. That's 3. 6 billion voxels for ultra HD modeling. A voxil is like a 3D pixel. More voxels means more detail. It's like going from blurry TV to 4K, but for 3D models. Here's what makes this crazy. You type medieval warrior statue with chain mail. And this a creates a full 3D model. Not just a flat image. An actual 3D asset you can rotate, zoom in on, and export to use in games or videos. But wait, it gets better. You can upload a photo and it turns that into a 3D model, too. Take a selfie and get a full 3D character. That's exactly what this does. How does this compare to Google's V3? They're not competitors. They do different things. Google VO3 makes videos with audio. Huan 3D makes 3D assets for games, VR or other projects. The pricing is completely different. Google charges for Veo3 through their API. Huan 3D 10centent pushes their models into open source. That means free. If you're a game developer, this could cut your 3D modeling cost by thousands. Instead of hiring expensive 3D artists or learning Blender, you just type what you want. VFX creators can make props and characters in seconds. or RVR creators can populate entire worlds without breaking the bank. Any creator who wants cool 3D stuff for content, this is gamechanging. The quality difference is huge. Previous versions had rough edges, weird textures, limited detail. This new version claims geometric detail that rivals professional 3D models with photorealistic textures. Creating a single 3D character takes professional artists days or weeks. With this, you're looking at minutes. The export options make this actually useful. This exports to GB, FBX, OBJ, all standard formats that work in Unity, Unreal Engine, Blender, everything. The texture maps include Albo, normal, roughness, all the standard PBR textures that make models look professional. This isn't toy level stuff. This is production quality. I want to test the medieval warrior prompt. Create a detailed statue with chain mail and see how the geometry holds up when I zoom in close. Then test image to 3D. Take a clear photo and see if it generates a proper 3D head with realistic features. Here's the real test. Generate a model with Hunuan 3D. Export it. Rig it for animation and drop it into a game engine. See if it actually works in a real production workflow. Every AI tool has limits. What happens when you try complex mechanical parts? hair and fur cloth with realistic folds. From the research, they're upfront about what this does well and where it struggles. That's a good sign. They're focused on real improvements instead of just hype. China has been making massive moves in AI, not just catching up, but pushing ahead in some areas. Honuan 3D is part of 10 cents broader AI strategy. They're building an entire ecosystem that works together. They're doing it differently than Google or OpenAI. More open source, more focused on creators and developers, less focused on locking everything behind paid APIs. That means more people can access this technology. Individual creators and small teams can use cuttingedge AI tools instead of just big companies with huge budgets. The quality jump from version 2 to three is huge. The kind of improvement that usually takes years happened in months. If they can make this jump this quickly, what will version four or five look like? What happens to 3D artists when AI can do their job faster and cheaper? I don't think 3D artists become obsolete. The role changes. Instead of basic modeling, they focus on creative direction, complex scenes, artistic vision. The 3D artists who embrace eye tools and use them to amplify creativity will dominate. The ones who ignore them might get left behind. How do you use Huan 3D 3. 0? Multiple channels. Research version on GitHub you can run locally. Web interface for easier access. A PI access for developers. Local version means unlimited generations but requires serious hardware. High-end GPUs with lots of VM. Web interface lets regular users access without expensive hardware but you depend on their servers. A PI is the middle ground. Developers integrate into apps pay per generation instead of buying hardware. Game development is obvious. Indie developers could create entire asset libraries without hiring 3D artists. E-commerce companies could generate 3D product models from photos. Real estate companies could create virtual furniture. Educational creators could make interactive 3D diagrams. Architecture firms could prototype building designs. Product designers could visualize concepts before expensive prototyping. Because this generates actual 3D geometry, not just

images that look 3D, you can use these models for 3D printing. physical manufacturing from text prompts. Demos always look impressive. The real test is when regular users generate thousands of models, and we see average quality, not cherrypicked examples. Version two was decent, but had consistency issues. Some generations great, others unusable. Version three claims better accuracy and reliable outputs. Consistency separates toys from tools. If you can't rely on good results most of the time, it's not useful for real work. Generation speed matters, too. All the quality in the world doesn't help. If each model takes hours for real workflows, you need results in minutes. When I get access, I'll test batch generation, edge cases, export quality, and iteration speed. These practical questions determine whether this is useful or just an impressive demo. Tenscent has a history of making AI models available to developers and researchers, usually within months of announcement. That's different from US companies that keep everything locked behind expensive APIs. Competition drives innovation and keeps prices reasonable. Without competition, we probably still pay thousands for basic AI access. The landscape changes fast. A tool that's cut an edge today might be obsolete in 6 months. Focus on practical applications. What can you build with these tools? How do they fit real workflows? What problems do they solve? When this becomes available, don't just marvel at the technology. Think about your specific needs. Where could 3D asset generation save you time or money? Start with a real problem you need to solve. Then figure out how to use the tool to solve it. That's how you get actual value. This is just the beginning. Version 3. 0 is impressive, but version 4. 0 will be better. We're riding the early part of an exponential curve. Companies and creators who start learning these tools now will have a massive advantage. While others figure out basics, you'll be building sophisticated workflows. Be realistic about limitations. This is powerful but not magic. It requires skill to use effectively. It has failure cases where it doesn't work well. Learn what it does well and build around those strengths. Don't force it to do things it's not designed for. Huan 3 D3. 0 represents a major step forward in AI powered 3D generation. Quality improvements, resolution increases, and speed enhancements make it potentially useful for real production work. Being available for free or cheap makes it accessible to individual creators and small teams who couldn't afford expensive 3D modeling before. If you're interested in 3D content creation, game development, product visualization, or cutting edge AI, this is worth watching. The real test comes when regular users get access and push the limits. That's when we'll know if this lives up to the hype. Based on what I'm seeing, this looks like the real deal. A genuine leap forward that could change how 3D content gets created. 3D is everywhere now. Games, movies, VR, AR, product design, architecture, education. Better tools for creating 3D content benefit everyone. The future of 3D creation will be fast, cheap, accessible, and incredibly powerful. Tools like this show us what that future looks like. If you want to scale your business, get more customers, and save hundreds with AI automation, check out my AI profit boardroom. It's the best place to connect with other entrepreneurs using AI to grow their businesses. And if you 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 GBT SEO prompts. You'll learn how to make money with AI agents, get access to 1,000 plus free NA workflows, 200 plus chat GBT prompts, and get a full blueprint to generate thousands of leads free with AI. What you'll also get is a free AI community, free AI course, and proven AI case studies.