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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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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.