扎根黄土地的岁月，让青年习近平“懂得了什么叫实际，什么叫实事求是，什么叫群众”。因而，“今后如果有条件、有机会，我一定要从政，做一些为老百姓办好事的工作”。
一位AI陪伴玩具从业者告诉我，目前针对老年人陪伴玩具，大多数人的态度还是偏于谨慎。
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有那么一刻，我看得出了神。黄土在这群踉跄的大老爷们头顶腾起，他们的头发、鼻腔、眼窝，以及厚棉服都蒙上了一层土，本就是从这片黄土里长出来的他们，身上似乎显现出一股子来自黄土高原的力量感。
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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