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wired ai · 2026年9月28日

英國初創公司利用遊戲玩家輸入訓練人工智能模型

worldmodeldata 獲得了 100 萬小時的視頻遊戲數據,以訓練能導航物理世界的人工智能模型。這可能會改善自動駕駛汽車和機器人。

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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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