Названа исполнительница роли Наташи Ростовой в «Войне и мире» Андреасяна14:45
You know, we're moving awfully fast in this intense AI world. Models are getting exponentially better. Nobody wants to get left behind. But I can't keep up this month. Remember how last time, previously, on Lobsters, I had to write two compilers in two months? Well, I'm already writing one compiler in one month for a conference, and because it's time-sensitive I would rather not do any apples-to-apples comparisons with vibecoded attempts. So instead you get more side projects.。关于这个话题，旺商聊官方下载提供了深入分析
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但在普遍拥有ESRC能力的AI公司看来，这些信息就意味着价值，而大语言模型正是发现价值的显微镜。
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.