谢赛宁：Waymo 世界模型与多模态本质
self-driving <as a 2D robot with a low-dim action space that focused mostly on avoidance rather than interaction> will reach real-world impact faster than anyth
自动驾驶将比其他任何事物更快实现现实世界影响。真正酷的部分是，世界模型不只是关于视频；它是关于对各类连续、高维、含噪信号的建模。这才是"多模态"的真正含义。祝贺 @maxjiang93、xander、bo 以及整个 Waymo 团队 👏
查看原帖We’re excited to introduce the Waymo World Model—a frontier generative mode for large-scale, hyper-realistic autonomous driving simulation built on @GoogleDeepMind’s Genie 3. By simulating the “impossible”, we proactively prepare the Waymo Driver for some of the most rare and complex scenarios—from tornadoes to planes landing on freeways—long before it…
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We’re excited to introduce the Waymo World Model—a frontier generative mode for large-scale, hyper-realistic autonomous driving simulation built on @GoogleDeepMind’s Genie 3. By simulating the “impossible”, we proactively prepare the Waymo Driver for some of the most rare and complex scenarios—from tornadoes to planes landing on freeways—long before it encounters them in the real world. https://t.co/EbMut47ZEY
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self-driving will reach real-world impact faster than anything else. the really cool part is that the world model isn’t just about videos; it’s about modeling continuous, high-dimension, and noisy signals of all kinds. that’s what "multimodal" actually means. congrats to @maxjiang93, xander, bo, and the whole waymo team 👏