Japan 10-year government bond yield rose 9.0 bps to 2.780%.

Beijing issued a 2026–2028 action plan to substantially upgrade embodied-intelligence foundation model capabilities. The plan backs multiple technical routes and their convergence, including visual-language-action models (VLA), world models (WM) and reinforcement learning (RL). It prioritises multisource information fusion, physical-space understanding and human emotion/action recognition to advance models from perception toward cognition — aiming for “brain” level understanding of physical-law constraints and the ability to identify non-verbal human actions and expressions. It also targets real-time inference, cross-ontology transfer and self-learning evolution to lift multitask generalisation, high-reliability execution, fast-cycle operations and ultra-precision manipulation — the “cerebellum” capabilities. Support for group coordination, long-term memory, local lightweight deployment and model interpretability is intended to accelerate real-world deployment. The stated goal is to bring China’s embodied-intelligence foundation models to international first-class standard.

Federal Reserve's Paulson: Given elevated inf, further 'gradual' rate hikes are appropriate.