Zhiyuan Launches World Action Model GE-Act 2.0

This release signals a maturing of embodied AI from isolated demos to a systematic pretraining framework, which could accelerate downstream applications in robotics and automation. The significance lies in the validation of scaling laws for action models, suggesting that future progress may hinge on data and compute efficiency rather than architectural novelty alone. For the RWA/crypto world, the indirect implication is that AI-driven physical-world interactions could eventually intersect with tokenized asset management or supply chain verification, though that remains speculative. The key metric to watch is whether GE-Act 2.0's performance gains translate into real-world deployment benchmarks, and whether competitors follow with similar pretraining claims.