Beli Rice AI (RICE) di Malaysia

Rice AI is a decentralized project that bridges the fields of robotics and Web3 technology. It is developed and backed by Rice Robotics, a Hong Kong based company known for deploying hundreds of autonomous robots in real world environments such as retail and logistics. The primary mission of the project is to address the data scarcity bottleneck that currently hinders the development of Artificial General Intelligence for physical robots. The project operates as a decentralized physical infrastructure network. It creates a global ecosystem where users and robotics companies can contribute high quality training data in exchange for rewards. This data is essential for teaching robots how to navigate and interact with the physical world. One of the core innovations is a teleoperation network that allows individuals to remotely control robots using devices like webcams, VR rigs, or joysticks. As these operators perform tasks, the resulting data is collected to train robotics foundation models. The ecosystem includes several key components. The RICE AI Foundry serves as a platform for developing these foundation models using community driven data. There is also an AI Data Sharing Protocol, which acts as a decentralized marketplace where researchers and developers can access massive datasets for robot intelligence. On the hardware side, the project introduced the M1 Minibot, a companion robot designed to engage users and collect interactive data to further accelerate model training. The RICE token serves as the central utility token for this ecosystem. It is used to reward data providers and robot operators, provide access to the platform's AI tools, and facilitate decentralized governance. Additionally, the project implements a mechanism where a portion of the revenue generated from data sales is used to remove tokens from circulation, supporting a long term circular economy. Rice AI is built on the BNB Chain and has established partnerships with various technology and blockchain entities. Its development roadmap includes expanding data collection tools, integrating with advanced hardware like spatial computing headsets, and providing software development kits for third party humanoid robots. By decentralizing the data collection process, the project aims to democratize access to robotics AI and create a more transparent and scalable way to build the next generation of intelligent machines. Pelajari Lebih Lanjut