The super project of the robot track has arrived @ UMA_Sobots The core team of Hugging Face, an AI company valued at over 4.5 billion US dollars, is starting a new business The project has just been public for 5 days 1/Project Consultant Yann LeCun and Yang Likun Father of deep learning, winner of the 2018 Turing Award (Nobel Prize in Computer Science) Yann LeCun is also an angel investor in UMA Thomas Wolf Co founder and Chief Scientist of Hugging Face Hugging Face is valued at over $4.5 billion Starting from teenage chatbots, it is now the core engine of AI democratization Youssef El Manssouri Sesterce co-founder and CEO Sesterce is a company that specializes in building supercomputing infrastructure for AI training and inference A 52 billion euro investment plan aims to deploy 1.2 million GPUs by 2030. 2/Founding Team Rémi Cadene（CEO） Chief Research Scientist of Hugging Face, Senior Scientist at Tesla Hugging Face open-source robot learning framework LeRobot creator Simon Alibert Hugging Face Machine Learning Engineer Pierre Sermanet (Chief Scientific Officer) PhD from New York University, top researcher in the fields of computer vision and robotics learning Google DeepMind research scientists A 20-year veteran of deep learning and robotics research From the perspective of team composition, it is basically the core team of Hugging Face's robotics department starting a new business, with the full support of Hugging Face's founder. 3/Technological Differentiation: Physical Intelligence The core of UMA is not traditional "task execution robots", but "physical intelligence" - allowing robots to truly understand the operating laws of the physical world. It is expected to start pilot deployment in the logistics, manufacturing, and medical fields in 2026. Specific manifestations: Human level dexterity operation Real time adaptation to complex environments Skills learned from one task can be transferred to other scenarios Lightweight design+maintainability, truly oriented towards mass production Let me give you an analogy. Traditional industrial robots are hard programmed, and each action needs to be pre-set. UMA aims to achieve soft intelligence, where robots can observe, learn, and adjust like humans. 4/Conclusion According to official sources, UMA's seed round investors include top institutions such as Greycroft, Relentless Ventures, and Unity Growth. All of them are top institutions in Web2. But at the same time, there is also a group of T0 Crypto KOLs promoting UMA. Whether UMA will ultimately go public or issue coins can only be said to be half and half.