NEW Mobile-Agent v3 Update is INSANE! (FREE GUI AI Agent)

Watch this AI tap through apps like a human. It clicks buttons, types messages, fixes its own mistakes, and it's completely free to use right now. This is Mobile Agent V3, and it's going to blow your mind. Let's go. Okay, so today I'm going to show you something wild. There's this new AI agent that can actually see your screen and control it, like really control it. It can open apps, click buttons, type stuff, navigate through menus, all by itself. It's called Mobile Agent V3 with Guo. and it just dropped a massive update that makes it better than anything else out there. Now, before we dive in, let me tell you why this matters. Because most AI tools right now just sit there and answer questions. They're basically smart chat bots, but this actually does stuff for you. Real tasks, real automation. And the crazy part is it works on phones and computers, Android, Windows, Mac, Ubuntu, all of it. So, stick with me because I'm going to show you what it can do, how it works, and how you can use it yourself. This is going to be good. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment. So, make sure you comment below. All right, so what is Mobile Agent V3? Think of it like having a robot that can see your screen and use your apps just like you would. It watches what's on the screen, figures out what to click, and then does it. So the tech behind this is called Guo. That's the AI model that powers everything. It sees your screen like a picture, then it decides what action to take. Should it tap here, type that, scroll down, all in one shot. And here's where it gets interesting. The V3 update just came out in August. And it's a massive jump from before. Let me show you the numbers. On the Android World benchmark, it scored 73. 3. That's up from 66. 4 in the previous version. On desktop task with OS World, it hit 37. 7. These are the tests that measure how well AI agents can actually complete real tasks. But numbers don't tell the full story. Let me explain what actually changed. First thing, it's now a multi- aent system. Instead of one AI trying to do everything, it splits the work into different roles. There's a manager that plans the task, workers that execute the steps, a reflector that checks for mistakes, and a notetaker that remembers important stuff. This is huge because it means the system can handle complex tasks without getting confused. It's like having a team instead of one person doing everything. Second, it has reflection and error handling built in. So if something goes wrong, like a pop-up appears or the screen looks different than expected, the agent can figure it out and fix it. It doesn't just crash or give up. Third, memory across apps. This one's insane. Let's say you need to copy a code from one app and paste it into another. The agent remembers that code. It can carry information across different apps and different tasks. Now, here's where it gets even better, and this is the part most people miss. The system has something called a self-evolving data pipeline. What does that mean? It means the AI can generate its own training data. It tries tasks, checks if they worked, learns from mistakes, and gets better automatically over time. Most AI systems need humans to label everything. This one improves itself. That's wild. And it's crossplatform. You can run it on Android phones, desktop computers with Iuntu, Mac, Windows, whatever you've got. Plus, it's end toend multimodal. That's a fancy way of saying it combines seeing, understanding, and acting all in one model. Other systems split these into separate pieces. Guo does it all together, which makes it faster and smarter. Here's the really cool part. Multi-app flows. Let's say you need to get a tracking number from one app and then enter it into another app to check the status. The agent can do that whole flow. It grabs the number, remembers it, switches apps, types it in, gets you the result. Most automation tools can't do this because they can't understand what they're looking at. They just follow rigid scripts, but this agent actually sees and reasons about what's on screen. Now, you might be thinking, this sounds too good to be true. So, let me be honest about the challenges because there are some. First, GUI automation is still fragile. If an app updates and changes its design, the agent might get confused. Dynamic content and weird layouts can break things. Second, the bigger models need serious hardware. The 32 billion parameter version needs a lot of memory to run. Not everyone has that kind of setup. Third, there's risk of wrong actions. If the agent misunderstands what it's looking at, it might click the wrong button or delete something. That's why the reflection and verification features are so important. Fourth, speed. These tasks take time because the AI has to process images and think through each step is not instant. And fifth, some tasks only work well in controlled test environments. Real world apps with all their complexity can still trip it up. But here's the thing. Even with these limits, this is a massive step forward.

A year ago, we didn't have anything close to this. Now, we have an open-source system that can actually automate guey tasks across multiple platforms. Speaking of which, let me show you how to actually use this thing. Now, before I show you that if you want to scale your business, get more customers, and save hundreds of hours with AI automation, you need to check out my AI profit boardroom, it's the best place to learn how to use AI tools like this to grow your business. I'll drop the link in the description. All right, so how do you get started with Mobile Agent V3? Everything is open source on GitHub. You go to the Xplug mobile agent repository, clone it, set up your environment, download the model weights, and run the demo scripts. There are two main models. Gual 7B, which is the smaller, faster one, and Gual 32B, which is bigger and more capable, but needs more power to run. The GitHub repo has all the instructions. They even have sample tasks you can try right away, like the travel guide search I mentioned or the PowerPoint creation. You can also find the models on hugging face if you want to explore the technical details or fine-tune them for your own use cases. And there's a research paper called mobile agent v3 fundamental agents for guay automation on arrive if you want to dive deep into how it all works. Now let me talk about where this is all heading because the future stuff is even more exciting. There's work being done on formal verification for guey agents. That means using math and logic to prove that an agent will do exactly what you want and nothing else. A project called Very Safe is working on this. There's also Vroid which adds a verifier that checks actions before they happen. So the agent plans a step. The verifier says yes or no. Then it executes. This prevents mistakes before they happen. And of course the models are getting better, faster, more accurate, better at handling edge cases and weird situations. The big vision here is AI agents that can handle any gooey task on any platform without breaking. We're not there yet, but we're getting close. And the fact that this is all open source means anyone can build on it. You could train it for specific apps, add new capabilities, integrate it into your own workflows. The possibilities are huge. Think about what this means for businesses. Imagine automating all your repetitive computer tasks. Data entry, form filling, testing, monitoring, all of it could be done by an agent like this or for personal use. Imagine telling an agent to book a restaurant, order food, and send a calendar invite to your friends. And it just does it all. No clicking through five different apps yourself. We're moving toward a world where you tell the computer what you want and it figures out how to do it. That's the promise of these guey agents. And if you want to learn how to make money with AI, you need to join my free AI money lab. Inside you get 50 plus free AI tools and 200 plus chat GPT SEO prompts. You'll learn how to make money with AI agents. Get access to 1,000 plus free workflows. See how one member made over $1,000 with Chat GPT. Plus, you get a full blueprint to generate thousands of leads free with AI. You also get a free AI community, free AI course, and proven AI case studies. The link is in the description. Join now. All right, that's it for today. And if you got value from this video, hit the like button, subscribe for more AI updates, and I'll see you in the next