他在日记中亲昵地叫儿子佳普斯、佳帕、安德留什卡，这些温柔的昵称，藏着一个父亲细腻的爱。在意大利拍摄《乡愁》期间，他偶遇一个站在路边等待搭便车的年轻人，这个画面瞬间击中了他，让他想起了留在苏联的、当时尚未成年的儿子。他在当天的日记中描绘：“他举着手，可是没有一个人停车。他有一头金发，看上去神情忧郁。我想起了佳帕。他也要长大，会变得更成熟，也更孤独。”
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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