舊金山一場停電讓Waymo自駕車隊動彈不得，軟體弱點迫使其緊急更新
Alphabet旗下Waymo自動駕駛車隊因舊金山大停電而陷入癱瘓，迫使該公司緊急宣布軟體更新。此事件揭示了AI在應對真實世界「邊緣案例」時的根本挑戰。
一場停電，是否足以癱瘓一座未來城市？Alphabet旗下的Waymo自動駕駛車隊，近期在舊金山街頭因大規模停電而進退兩難，場面一度陷入混亂。根據路透社報導，Waymo已宣布將為此更新軟體。這次事件不僅是一次技術故障，更凸顯了頂尖AI在面對真實世界突發狀況時的脆弱性，可謂茲事體大。
事件始末：停電引發的骨牌效應
舊金山的電力中斷導致交通號誌集體失靈，使十字路口頓時險象環生，即便是經驗豐富的人類駕駛也需小心翼翼。在這種高度不確定的環境下，Waymo的自動駕駛系統基於安全第一的原則，選擇了停車或緩慢行駛，卻也因此造成了部分路段的交通阻塞。這暴露出當前AI技術的一大瓶頸：如何解讀並應對人類社會中依靠眼神、手勢等非明文規則運作的複雜場景。
軟體更新與「邊緣案例」的挑戰
Waymo對此事件迅速做出反應，承諾進行軟體更新，目標是提升系統處理「邊緣案例」（Edge Case）的能力。所謂邊緣案例，指的是那些極少發生、但一旦發生就可能導致系統失靈的特殊情況，停電便是其中之一。自動駕駛的發展之路，本質上就是一場不斷收集、學習並攻克無數邊緣案例的競賽。這次意外，為Waymo乃至整個產業提供了千金難買的真實世界數據。
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