05版 - 附:中华人民共和国2025年国民经济和社会发展统计公报图表

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Because Super Mario 64 maps still use only IEEE‑754 32bit floating point numbers for positions, they are only a covering space, not the universal covering space of the collision detection space, which uses short ints I will elaborate below.

To: Sergey Brin, Founder and Board Member, Google

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Фото: Sofiia Gatilova / Reuters

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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.