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.
# Switch to unrestricted
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这种定位通过纪录片创作得以深化。剪辑陷入瓶颈时，他的导师提供了颠覆性的建议：关掉所有画面，只聆听采访录音，两个月内不看影像。这对习惯于视觉思维的创作者而言，无异于一次“信仰的飞跃”。他照做了，两个月里，他只面对亲人们的声音。那些用粤语、英语讲述的，充满情感风暴、时常跳跃、夹杂着痛苦与怨愤的叙述，动荡时期的恐惧、逃亡路上的艰辛、家庭内部的委屈，所有这些情绪，剥离了画面的修饰，以最直接的声音形式冲击着他。
Филолог заявил о массовой отмене обращения на «вы» с большой буквыФилолог Пахомов заявил о неуместности обращения на «вы» с большой буквы