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.
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36氪获悉，卢伟冰表示，两台小米人形机器人在汽车产线上连续工作三小时，实现90%的工作准确率。卢伟冰透露，小米今年即将发布全新的机器人产品，实现自研芯片、自研OS和自研AI大模型的会师。据其判断，未来五年内，人形机器人将大规模进入到小米产线工作。
Ранее стало известно, что власти США призвали американских граждан в срочном порядке покинуть Израиль в связи с угрозой возобновления войны с Ираном. Вашингтон также разрешил американским госслужащим, «чья работа не является критически важной», и их семьям покинуть страну.