{"slug": "alipays-owner-just-open-sourced-an-entire-robot-brain-in-a-single-week", "title": "Alipay’s owner just open-sourced an entire robot brain in a single week", "summary": "Ant Group's robotics unit Robbyant open-sourced an entire robot brain over four days, including the LingBot-World 2.0 world model that generates interactive 3D environments for an hour, and the LingBot-VLA 2.0 vision-language-action model. The move aims to establish Robbyant as the standard AI layer for China's booming humanoid robot industry, competing with Nvidia's GR00T.", "body_md": "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.\n\nThat 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.\n\n## An hour-long world you can play\n\nStart 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.\n\nIt 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.\n\nTwo 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.\n\n## A whole robot brain, given away\n\nThe world model is the flashy part. The rest of the week was arguably more important for the robotics industry.\n\nOn 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.\n\nIt 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.\n\nA 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.\n\nRobbyant 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.\n\n## Why give it all away\n\nThe 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.\n\nOpen-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.\n\nIt 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.\n\nThere 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.\n\n## From Alipay to household robots\n\nRobbyant 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.\n\n*It is spending like it wants to change that.*\n\nAnt 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.\n\nThis week’s releases are the parts for exactly that.\n\n## Why it matters\n\nRobots 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.\n\nThe 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.\n\nThe race to give robots common sense now has a very well-funded new entrant.\n\n## Get the TNW newsletter\n\nGet the most important tech news in your inbox each week.", "url": "https://wpnews.pro/news/alipays-owner-just-open-sourced-an-entire-robot-brain-in-a-single-week", "canonical_source": "https://thenextweb.com/news/robbyant-ant-group-lingbot-embodied-ai-open-source", "published_at": "2026-07-09 17:20:04+00:00", "updated_at": "2026-07-09 18:09:31.430435+00:00", "lang": "en", "topics": ["artificial-intelligence", "robotics", "ai-products", "ai-infrastructure"], "entities": ["Ant Group", "Robbyant", "LingBot-World 2.0", "LingBot-VLA 2.0", "Nvidia", "GR00T", "Unitree", "Fourier"], "alternates": {"html": "https://wpnews.pro/news/alipays-owner-just-open-sourced-an-entire-robot-brain-in-a-single-week", "markdown": "https://wpnews.pro/news/alipays-owner-just-open-sourced-an-entire-robot-brain-in-a-single-week.md", "text": "https://wpnews.pro/news/alipays-owner-just-open-sourced-an-entire-robot-brain-in-a-single-week.txt", "jsonld": "https://wpnews.pro/news/alipays-owner-just-open-sourced-an-entire-robot-brain-in-a-single-week.jsonld"}}