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wired ai · 2026年9月28日

英国初创公司利用游戏玩家输入训练人工智能模型

worldmodeldata 获得了 100 万小时的视频游戏数据,以训练能导航物理世界的人工智能模型。这可能会改善自动驾驶汽车和机器人。

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worldmodeldata, a british startup advised by yann lecun, is collecting video game data to train ai models that can navigate the physical world. the company has licensed almost 1 million hours of data from studios behind popular video games. this data, which includes controller inputs and visual representations of 3d spaces, will be used to train world models. these models, which are being developed by researchers like fei-fei li and yann lecun, need to be trained on a combination of visual and action data to become fluent in real-world physics. the goal is to improve autonomous vehicles, robotic arms, and other applications that require finesse and precision.

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