Black Forest Labs 推出 FLUX 3 Action，一款开源机器人 AI 模型

Black Forest Labs 正在发布 FLUX 3 Action，这是一款专为机器人设计的开源 AI 模型。它建立在多模态 FLUX 3 模型的基础之上，该模型主要使用视频数据进行训练，同时也使用了图像和音频数据。作为一个世界动作模型，它能够接收来自机器人工作空间的多摄像头视频流，并预测代理下一步应采取的动作以及由此导致的环境变化。

根据 BFL 的说法，在 RoboLab-120 排行榜上，FLUX 3 Action 仅凭借七十亿参数就创下了成功率的新纪录，其规模不到此前最佳开源模型的一半，同时运行速度最高可达之前的 3.95 倍。BFL 表示，大型推理模型虽然擅长规划，但往往过于缓慢且体积庞大，不适合机器人使用，因此这种效率对于设备端部署至关重要。BFL 还看到了数字环境中的潜力，其中电子游戏可作为导航和快速反应代理的测试场，而这些代理随后可能遵循类似的操作路径来操作计算机。该模型的权重已在 Hugging Face 上提供。

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Black Forest Labs launches FLUX 3 Action, an open robotics AI model

Black Forest Labs is releasing FLUX 3 Action, an open AI model designed for robotics. It builds on the multimodal FLUX 3 model , which was trained mainly on video but also on image and audio data. As a world-action model, it takes multi-camera video feeds from a robot workspace and predicts what action an agent should take next and how the environment will change as a result.

On the RoboLab-120 leaderboard , FLUX 3 Action sets a record for success rate with just seven billion parameters, according to BFL, less than half the size of the previous best open model while running up to 3.95 times faster. Large reasoning models can plan well, BFL says, but they're often too slow and too bulky for robots, making this kind of efficiency critical for on-device deployment. BFL also sees potential in digital environments, where video games serve as testing grounds for navigation and fast-reacting agents that operate computers could follow down the line. The weights are available on Hugging Face .

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