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    Alibaba Tongyi Lab Releases MAI-UI: A Basis GUI Agent Household that Surpasses Gemini 2.5 Professional, Seed1.8 and UI-Tars-2 on AndroidWorld

    Naveed AhmadBy Naveed Ahmad04/01/2026Updated:07/02/2026No Comments3 Mins Read
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    **Breaking Ground: Introducing MAI-UI, a Revolutionary GUI Agent Technology**

    Hey there, fellow tech enthusiasts! If you’re anything like me, you’re always on the lookout for advancements in GUI agent technology. Well, hold onto your seats, because Alibaba’s Tongyi Lab has just dropped a major bombshell: MAI-UI, a family of multimodal GUI agents that’s pushing the boundaries of what’s possible.

    **What’s the Big Deal About MAI-UI?**

    In a nutshell, MAI-UI is a family of GUI agents built on Qwen3 VL, with model sizes ranging from 2B to 235B A22B. These models are like super-powered brainiacs that can take in natural language instructions and rendered UI screenshots, then spit out structured actions for a live Android environment. Imagine being able to navigate through your phone with ease, using simple language commands like “open the camera” or “send a text to John.” It’s like having your own personal assistant on steroids.

    **Groundbreaking GUI Grounding**

    GUI grounding is like the ultimate puzzle: taking free-form language and mapping it to the corresponding on-screen control. MAI-UI uses a UI grounding technique inspired by UI-Ins, which involves generating multiple views of each UI component (think of it like taking a snapshot of the screen from different angles). The model then has to choose the correct point within the bounding box, like a digital detective solving a mystery.

    **Self-Evolving Navigation: The Key to Success**

    Navigation is where things get really interesting. Imagine trying to guide an agent through a series of complex tasks, across multiple apps, while interacting with the user and tools. That’s where MAI-UI’s self-evolving knowledge pipeline comes in. It uses a combination of app manuals, hand-designed scenarios, and filtered public data to develop robust navigation behavior. And to ensure it stays on its toes, it even perturbs parameters like dates, limits, and filter values to test its limits.

    **Online RL in Containerized Android Environments**

    But here’s the thing: static data just isn’t enough for dynamic mobile apps. MAI-UI uses an online RL framework that lets the agent interact directly with containerized Android virtual devices. It’s like having a virtual lab where the agent can experiment and learn in real-time. With over 35 self-hosted apps from various categories, MAI-UI is proving to be the ultimate GUI agent for mobile.

    **The Verdict: MAI-UI is a Game-Changer**

    MAI-UI is setting new standards in GUI grounding and navigation, with:

    * A unified GUI agent family for mobile that’s designed for real-world deployment
    * Cutting-edge GUI grounding and navigation capabilities that outperform existing state-of-the-art models
    * Realistic MobileWorld performance with interaction and tools
    * Scalable online RL in containerized Android environments

    Ready to dive deeper? Check out the [paper](https://arxiv.org/pdf/2512.22047) and [GitHub repo](https://github.com/Tongyi-MAI/MAI-UI) for all the juicy details.

    Stay tuned for more updates on this revolutionary technology, and let’s keep pushing the boundaries of what’s possible in GUI agent technology!

    Naveed Ahmad

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