Real-World (RLWRLD), a Physical AI innovator led by its proprietary Robotics Foundation Model (RFM) "RLDX-1 (RealDex)", has launched "All Hands Up!" (www.allhandsup.org). This website provides a technical report and visualization features that organize the practical limitations and trade-offs of dexterous robot hands based on operational data from commercially available models. Real-World is headquartered in the US with CEO Ryu Jun-hee, and its Japanese subsidiary is located in Chiyoda-ku, Tokyo, with Representative Lee Hoon. "All Hands Up!" is a platform that analyzes and discloses the actual operational performance and design trade-offs of robot hands, which are difficult to grasp from manufacturer specification sheets alone. We developed and launched this site based on accumulated operational data to answer the recurring question in research and industry: "Which robot hand functions effectively in real-world environments?" ■ Structural "Trade-offs" in Robot Hand Design Robot hands are considered core elements of Physical AI. However, due to structural trade-offs between size, gripping force, and backdrivability, developing products that satisfy all performance aspects simultaneously is currently difficult. Relationship between Size and Gripping Force: When the size of a robot hand is reduced, the internal drive motor also becomes smaller, leading to a decrease in gripping force. Relationship between Gripping Force and Backdrivability: Increasing the gear ratio (the ratio of gears meshing with the motor) to enhance force strengthens the gripping force, but it reduces "backdrivability," the characteristic of flexibly responding to external forces and impacts. Thus, current commercial products have limitations and trade-offs depending on their design objectives, as improving one aspect often compromises another. ■ Presenting Objective Indicators with Proprietary Benchmark "DexBench" To more accurately evaluate actual task performance, Real-World has organized key de