ME News reports that on April 10 (UTC+8), AgiBot released a groundbreaking advancement in world models: Genie Envisioner World Simulator 2.0 (GE-Sim 2.0)—a truly trainable, interactive, and decision-making operational world, serving as a physical evolution engine for embodied intelligence. GE-Sim 2.0 currently operates near real-time and fully supports interaction modes including evaluation, reinforcement learning, and teleoperation. Combined with the Real-to-Edit-to-Real data paradigm, real-world data can be transformed into editable and scalable training resources, significantly raising the scaling law ceiling for algorithm iteration. (Source: BlockBeats)
AGIBOT Launches GE-Sim 2.0, a Physical Evolution Engine for Embodied Intelligence
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Summary
AGIBOT announced the launch of GE-Sim 2.0 on April 10, a physical evolution engine for embodied intelligence. The new world model supports real-time execution, reinforcement learning, and teleoperation. It employs the Real 2 Edit 2 Real data approach, transforming real-world data into scalable training resources. On-chain data integration enhances algorithm iteration efficiency. Developer sentiment, as measured by the fear and greed index, remains elevated as the project progresses.
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