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.
Perplexity Computer 目前仅面向 Max 订阅用户开放，将会在晚些时候开放给 Pro 用户。来源
，这一点在WPS下载最新地址中也有详细论述
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СюжетВыборы президента России 2024