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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.

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魔法原子(MagicLab)成立于2024年1月,是一家专注于通用人形机器人和具身智能技术研发与落地应用的全球化公司。公司核心成员汇聚清华、上海交大、密西根大学等国内外顶尖高校,研发人员占比超70%,拥有全栈自研的软硬件技术体系。其核心硬件自研比例超90%,覆盖关节模组、灵巧手等关键零部件,并自研VLA大模型“原子万象”,采取VLM+MoE分层架构,已采集约36万条真机数据,实现了多模态感知与具身操作的算法领先。

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一项文化工程与它的时代呼应

19:37, 27 февраля 2026Культура