# Alipay’s owner just open-sourced an entire robot brain in a single week > Source: > Published: 2026-07-09 17:20:04+00:00 The company behind China’s Alipay just gave away an AI that builds a playable video game world and keeps it running for a full hour. Robbyant, the robotics arm of fintech giant Ant Group, [open-sourced](https://www.businesswire.com/news/home/20260708757367/en/Robbyant-Unveils-LingBot-World-2.0-Pioneering-Hour-Long-Real-Time-Generation-in-World-Models) its LingBot-World 2.0 world model this week. It generates an interactive 3D world in real time, at 720p and 60 frames per second, that a user can walk around and act inside. That release was not a one-off. It was the finale of a remarkable week. Across four days, Robbyant open-sourced an entire robot brain, piece by piece: the eyes, the hands, and now the imagination. For a company most people know through a payments app, it is a bold land-grab in embodied AI. ## An hour-long world you can play Start with the headline act. Most AI video tools generate a clip and stop. LingBot-World 2.0 keeps going. The company says it holds visual quality for a full hour with no drift, where rival systems usually blur and collapse after a while. It is also interactive, not just watchable. On Robbyant’s Reactor platform, a user steers a character with the keyboard as the scene renders live. The action list reads like a game: attack, shoot arrows, cast spells, jump, and glide. Type a command and you can flip the world to night, change the weather, or drop in a new object. Two built-in agents run the show. A “pilot” plans and carries out the character’s moves. A “director” throws in new events as the scene unfolds. The world even supports several people at once in one shared, persistent space. Robbyant also open-sourced a second model, LingBot-Video, which it calls the first open-source video generator built for robots rather than film. ## A whole robot brain, given away The world model is the flashy part. The rest of the week was arguably more important for the robotics industry. On one day, Robbyant released [LingBot-VLA 2.0](https://www.businesswire.com/news/home/20260707394646/en/Robbyant-Upgrades-and-Open-Sources-LingBot-VLA-2.0-as-a-Next-Generation-Universal-Brain-for-Embodied-AI), a “vision-language-action” model it pitches as a universal brain for robots. The company trained it on 60,000 hours of real-world data, drawn from 20 kinds of robot across 17 makers, including Unitree, Fourier, and AgiBot. It claims the model beats [Nvidia’s](https://thenextweb.com/news/nvidia-humanoid-robot-makers-unitree) GR00T and Physical Intelligence’s π0.5 on a shared academic benchmark. It also runs with under 130 milliseconds of latency on a single consumer graphics card. A day earlier came LingBot-Depth 2.0, aimed at a problem that has long [haunted robots](https://www.scmp.com/tech/big-tech/article/3359747/glass-crashes-slashed-ant-group-embodied-ai-unit-claims-breakthrough-robot-sensing): seeing glass, mirrors, and shiny surfaces. Depth cameras tend to fail on them, which is how a robot walks into a glass door. Robbyant says its model halves the error of its predecessor in the hardest indoor scenes. A paired vision model, it adds, matches strong systems while training on a fraction of the images that Meta’s DINOv3 used. ## Why give it all away The obvious question is why a fintech giant hands this out for free. The answer is strategy. China has [more than 100 humanoid robot makers](https://thenextweb.com/news/china-humanoid-robot-boom-commercialisation-reality-check), and most build the body, not the brain. Whoever supplies that brain becomes the layer everyone else builds on. Open-sourcing is how you get there fast. Give away the models, win the developers, and set the standard before a rival does. It is a pointed contrast with Nvidia, whose GR00T platform is open but tied to its chips. It also fits a wider Chinese pattern, from [MiniMax](https://thenextweb.com/news/minimax-2-7-trillion-parameter-open-source-model) to Alibaba, of [flooding the field](https://thenextweb.com/news/alibaba-ai-models-for-robots-as-chinas-focus-shifts-to-agents) with free, capable models. There is a national angle too. China is racing to lead embodied AI, and it has already started to [register its humanoids by ID](https://thenextweb.com/news/china-humanoid-robot-id-system-lifecycle-tracking). A shared, home-grown software stack helps its whole robot sector move together. ## From Alipay to household robots Robbyant sits inside Ant Group, the Hangzhou company that runs Alipay and grew out of the Alibaba empire. Ant is not a robotics firm by history. It is a payments and finance business, and a huge one. *It is spending like it wants to change that.* Ant reported record research spending of $5.17bn last year. Robbyant’s stated goal is not factory arms but robotic companions and carers, for elderly care, medical help, and chores at home. A robot that minds an ageing parent has to see a glass table, grip a cup, and understand a messy room. This week’s releases are the parts for exactly that. ## Why it matters Robots have long been held back less by motors than by minds. They could move, but they could not reliably understand a room or plan their way through it. Robbyant is betting that better perception, a shared brain, and world models to practise in will crack that. The claims are the company’s own, and self-reported benchmarks deserve caution until others test them. But the direction is clear enough. One of China’s most powerful tech groups just put a near-complete embodied-AI toolkit into the open, in a single week, for anyone to use. The race to give robots common sense now has a very well-funded new entrant. ## Get the TNW newsletter Get the most important tech news in your inbox each week.