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.
Авторы материала предположили, что глава Украины таким образом пытался продемонстрировать, что выживание государства нельзя продать или купить по аналогии с проблемным активом при слиянии компаний в сфере недвижимости.
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社交媒体上，也有大量网友分享了 Nano Banana 2 的玩法。因为价格更低，有网友写了一个 Skill，在 Claude Code 里就能使用 Gemini API，批量生成各种图片。