卡帕西称Waymo难复制特斯拉FSD横跨美国壮举

DoNews01-04

卡帕西称Waymo难以复制特斯拉FSD横跨美国大陆的零接管驾驶成就，认为技术路线差异是关键原因。作为特斯拉前人工智能负责人，安德里杰・卡帕西指出，特斯拉采用端到端神经网络驱动自动驾驶，而Waymo依赖模块化系统架构，在应变能力上存在局限。这一观点发表于12月31日，正值特斯拉FSD实现横贯美国大陆全程几乎无接管之后。卡帕西强调，该成就是“意义非凡”的里程碑，因为自项目启动以来，完成跨大陆自动驾驶...

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States","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"TSYW.SI":0.6,"TSLA":1.94},"content_text":"卡帕西称Waymo难以复制特斯拉FSD横跨美国大陆的零接管驾驶成就，认为技术路线差异是关键原因。作为特斯拉前人工智能负责人，安德里杰・卡帕西指出，特斯拉采用端到端神经网络驱动自动驾驶，而Waymo依赖模块化系统架构，在应变能力上存在局限。这一观点发表于12月31日，正值特斯拉FSD实现横贯美国大陆全程几乎无接管之后。卡帕西强调，该成就是“意义非凡”的里程碑，因为自项目启动以来，完成跨大陆自动驾驶一直是团队的核心目标之一。他回忆称，曾与团队进行马拉松式行车片段审查，致力于消除人工干预需求。有社交平台用户提出，Waymo无法复现类似壮举，因其技术路径与特斯拉不同。卡帕西回应表示认同：“是的，完全正确，我的理解也是如此。”他特别指出，Waymo的模块化系统在旧金山一次停电事件中暴露缺陷——交通信号失灵导致高精地图无法匹配现实路况，多辆自动驾驶车辆陷入停滞。相比之下，特斯拉正开发单一、功能完整的神经网络系统，直接将摄像头采集的视觉信息转化为驾驶指令，符合其倡导的“软件2.0”理念：通过数十亿英里真实驾驶数据训练AI模型，而非为每种场景编写规则代码。尽管埃隆・马斯克此前公开批评卡帕西的观点“已然过时”，并称当前特斯拉AI软件已远超其2022年离职时水平，但卡帕西仍对此次FSD表现给予高度评价。马斯克曾在社交媒体邀请卡帕西重返公司，称其为“失散已久的兄弟”，但截至目前，卡帕西未显示出回归迹象。此次讨论凸显了自动驾驶两大技术流派的根本分歧：一方以高精地图、激光雷达和多模块协同为基础，另一方则依靠纯视觉输入与端到端深度学习推进全自动驾驶能力发展。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":1,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 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