Сайт Роскомнадзора атаковали18:00
在 Ling Studio 用 Ring-2.5-1T 做深度推理、方案拆解、代码重构（负责“想清楚”）
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In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
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“政绩观既体现在抓发展上，也体现在惠民生、保稳定上；既体现在即期见效的显绩上，也体现在打基础、增后劲、利长远的潜绩上；既体现在解决现实矛盾上，也体现在解决历史遗留问题上”；