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CoreWeave CEO Intrator said in a post-earnings interview there is no reason the company’s partnership with NVIDIA should change. He called NVIDIA a key supporter and supplier and said the firms remain in close cooperation. Both stocks have experience

2026-11-11

CoreWeave CEO Intrator said in a post-earnings interview there is no reason the company’s partnership with NVIDIA should change. He called NVIDIA a key supporter and supplier and said the firms remain in close cooperation. Both stocks have experienced weeks of volatility amid investor concern about an AI spending slowdown and, in NVIDIA’s case, a board probe into Jensen Huang. Intrator declined to comment on NVIDIA’s ongoing board investigation.

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2026-11-10

Zhengzhou Commodity Exchange: After research and deliberation, it has been decided that the listing benchmark price for the first batch of sunflower seed oil futures contracts SO2705, SO2707, SO2709 and SO2711 to be listed and traded on November 12,

Zhengzhou Commodity Exchange: After research and deliberation, it has been decided that the listing benchmark price for the first batch of sunflower seed oil futures contracts SO2705, SO2707, SO2709 and SO2711 to be listed and traded on November 12, 2026 will be 10,000 yuan/ton.
2026-11-11

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

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 generalization, 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.
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