Saining Xie· @sainingxie · X·· 2026-02-07AI 评分49
AI 导读
推文观点认为，将自动驾驶视为专注于避障的低维行动空间二维机器人，能更快产生实际影响。Waymo世界模型的核心不止于视频生成，更是对连续、高维、多模态嘈杂信号的建模。该模型基于Google DeepMind的Genie 3构建，能创建大规模、超逼真的驾驶模拟。通过模拟如龙卷风、飞机降落高速公路等极端罕见场景，Waymo Driver可在真实遭遇前进行针对性训练，从而显著提升系统应对复杂情况的能力，加速自动驾驶技术的安全部署与成熟。
正文 · 原文
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 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 👏
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. http://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simulation在 X 查看被引用的帖子
来源：Saining Xie · x.com