AI终于开始处理真实世界的复杂任务
大多数AI模型在实验室里表现完美，一遇到真实世界的复杂任务就露馅。Seed2.0系列模型试图改变这一点：它先识别用户真实需求，再基于这些需求构建评估体系，然后专门攻克两个老大难问题——长尾知识和复杂指令跟随。结果是在推理、视觉理解和搜索能力上达到世界领先水平，并且已经在数百万人使用的场景中展现出处理复杂任务的能力。这不是你明天就能直接用的工具，但它标志着AI从“玩具”向“工具”迈出了实质性的一步。
📄 原文摘要(英文)
We present Seed2.0, a model series that takes a meaningful step toward solving complex, real-world tasks. Our approach begins with identifying users' genuine needs and constructing a reliable, forward-looking evaluation system by selecting and abstracting benchmarks grounded in these needs and in realistic, complex scenarios. Guided by this evaluation system, Seed2.0 targets two persistent challenges, long-tail knowledge and complex instruction following, substantially improving the model's reliability on intricate, long-horizon tasks. Beyond these, Seed2.0 delivers world-leading reasoning intelligence, visual understanding, and search capabilities that address the most common needs of a broad user base. Through extensive real-world use cases documented in this model card, we demonstrate that Seed2.0 begins to exhibit the ability to handle initial complex real-world tasks, delivering greater value to hundreds of millions of users.