She walked towards it and eventually found smoke billowing out of the tumble dryer. Touching the machine, she realised it was hot and, looking closer, she saw that part of it was on fire.
15:36, 27 февраля 2026Силовые структуры
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Медведев вышел в финал турнира в Дубае17:59
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.
directly based on the 360 and uses the same instruction set, but it came with