【钛晨报】国家互联网应急中心发布关于OpenClaw安全应用的风险提示;涉及新兴领域、百姓生活等方面,一批重要国家标准发布;中国外贸增速重回两位数至18.3%

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作为欧洲最大的软件公司,SAP也在面临来自技术和资本市场的双重压力。值此关键节点,SAP全球CEO柯睿安撰文,不仅有力回击“AI将杀死软件”的激进叙事,也宣示了公司全面押注AI的战略决心。

The RL system is implemented with an asynchronous GRPO architecture that decouples generation, reward computation, and policy updates, enabling efficient large-scale training while maintaining high GPU utilization. Trajectory staleness is controlled by limiting the age of sampled trajectories relative to policy updates, balancing throughput with training stability. The system omits KL-divergence regularization against a reference model, avoiding the optimization conflict between reward maximization and policy anchoring. Policy optimization instead uses a custom group-relative objective inspired by CISPO, which improves stability over standard clipped surrogate methods. Reward shaping further encourages structured reasoning, concise responses, and correct tool usage, producing a stable RL pipeline suitable for large-scale MoE training with consistent learning and no evidence of reward collapse.

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But he added: "Future demand from data centres, and interaction with wider energy system demands, remains inherently uncertain."

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