谷歌DeepMind推出SIMA2通用智能体，升级采用Gemini模型，能理解目标、解释计划并自我学习，在复杂3D游戏中持续进步。其前身SIMA1于2024年发布，通过图像和虚拟设备控制，掌握600多项语言指令，任务完成率约31%，低于人类玩家水平。
谷歌DeepMind发布多模态智能体SIMA2，基于Gemini2.5Flash-lite模型，任务成功率较前代提升约一倍。新版本能在陌生环境中执行复杂指令，具备自我改进能力，通过引入自生成数据循环机制：系统调用独立Gemini模型在新场景中批量生成任务。目前以研究预览形式发布，旨在验证实现通用人工智能所需的高阶世界理解与推理能力。
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