Core Points - Waymo, a unit of Alphabet, recalled 3,067 vehicles in the United States due to a software issue that has been resolved through an update [1] Group 1 - Waymo's recall involved a total of 3,067 vehicles [1] - The recall was initiated following a report from the National Highway Traffic Safety Administration (NHTSA) [1] - The software issue that prompted the recall has been fixed via an update [1]

兄弟 你敢信？ Waymo已經讓 乘客“躺赢”了 380万小时 的私人时间 这不是梦 是2025年 真实数据！ 但Elon昨晚 在X上直接怼 Waymo沒機會 和我們對抗 Tesla一出场 就能秒杀！ 你猜谁會赢？ Waymo每周 45万個订单 2500辆车 日夜狂奔 安全数据碾压 人类91% 重伤事故 但马斯克的 杀手锏是 端到端AI 纯摄像头 零硬件依赖 数据狂飙 65亿英里 Waymo 就好像 全副武装 的特种兵 稳但是贵 Tesla呢？ 就像病毒大军 成本腰斩到 每英里1刀 全球随便开 这場 Robotaxi戰爭 剛剛打響 Waymo 在秀肌肉 马斯克 在憋大招 你站哪边？ 评论區告诉我！. ...

大家好我是大鱼 Waymo 最近动作不断 不仅在加快 扩张的脚步 而且各项数据 也非常亮眼 这一刻 所有人都以为 Tesla要凉了 但Elon Musk 只回了几个字 他们从来没有机会 他凭什么这么狂？ 因为真正的战争 从来不是 比谁 现在跑得多 而是比谁能把 无人驾驶 变成地球上 每条路上的常态 今天我就把这场 必有一伤的 Robotaxi决战 掰开给你看 大家不要错过 今天的精彩内容 OK let's go 特斯拉的股票 周三收盘是451.43% 全天上涨了 6.16%美元 涨幅是1.38% 成交量是 6084万股 第一部分 Waymo vs Tesla 兄弟们 每天开车上班 你会被塞车 这种鸟事困扰吗？ 想像一下 早晨一杯咖啡在手 后座放空听播 客车 子自己 开到公司门口 这不是科幻 Waymo刚丢出 2025年终报告 说他们已经 跑了超过1400万 趟付费Robotaxi 乘客总共享受了 380万小时 的「私人空间」 工作聊天 还是发呆 都随你 听起来超赞 对吧？ 但Elon Musk 昨天在X上 直接开炮 他说Waymo 从来就没机会 对抗Tesla 这事儿回头看 会超明显 哈哈马斯克 这调调 总是 ...

Baby delivered in Waymo continues proud tradition of not making it to the hospital https://t.co/0hnvgyv4hA ...

【环球网科技综合报道】12月11日，据electrek报道，近日，特斯拉CEO埃隆·马斯克在社交平台发文， 称Waymo在自动驾驶领域"从来就没真正有过胜算"，此番言论引发行业热议。而就在其发声前， Waymo刚公布1亿英里无安全员载客里程的里程碑及详实安全数据，与特斯拉的发展现状形成鲜明对 比。 反观特斯拉，不仅未实现无安全员商用运营，其安全报告还屡遭诟病。报告以安全气囊弹出替代碰撞数 据，缺乏细化伤害指标，且数据全程有人类监控，无法单独体现软件性能。即便如此，马斯克仍高调宣 布，计划三周内移除奥斯汀自动驾驶出租车车队的安全员。 行业分析指出，马斯克的言论与现实严重脱节。Waymo已积累近1亿英里无人驾驶里程，而特斯拉的相 关里程仍为零。更值得关注的是，马斯克曾承诺2020年底推出100万辆自动驾驶出租车，该目标已逾期 五年；而Waymo已将"特斯拉的目标"变为现实。 外媒报道称，即便特斯拉如期移除安全员，也已落后Waymo约五年，后续还需完成安全性验证与规模 化落地两大课题。（旺旺） 外媒指出，这场争论源于谷歌DeepMind首席科学家杰夫·迪恩的公开对比。他指出，特斯拉的无安全员 自动驾驶里程与Waym ...

Core Insights - Elon Musk, CEO of Tesla, recently mocked competitor Waymo, claiming they "never had a real chance of winning" in the autonomous driving sector, suggesting this will be evident in hindsight [1][5] - Tesla and Waymo are the two main players in the U.S. autonomous driving market, both operating driverless ride-hailing services, but Tesla still employs "safety monitors" in Austin, which will be eliminated by the end of the year [1] - The competition between Tesla and Waymo is evident in their geographic service areas, with Waymo focusing on large cities while Tesla aims to extend its autonomous capabilities to every Tesla vehicle globally [1] Technical Differences - There is a fundamental divergence in technology approaches: Tesla adheres to a vision-only strategy, while Waymo utilizes multiple sensors, including LiDAR, which Musk has criticized as a "fool's errand" [2] - This technological distinction allows Tesla to stand out in the competition, with Musk emphasizing Tesla's superior position relative to Waymo [2] - Jeff Dean, Chief Scientist at Google DeepMind, countered that Tesla has not yet reached the scale of Waymo in terms of pure passenger autonomous driving mileage, with Waymo having achieved 96 million miles [2]

Core Insights - Waymo has released a deep blog detailing its AI strategy centered around its foundational model, emphasizing the use of distillation methods to create efficient models for onboard operations [1] - Jeff Dean highlighted the significance of knowledge distillation in AI, reflecting on its initial rejection by NeurIPS 2014, which underestimated its potential impact [3][4] Group 1: Historical Context of Rejected Papers - Many foundational technologies in AI, such as optimizers for large models and computer vision techniques, were initially rejected by top conferences, showcasing a systemic lag in recognizing groundbreaking innovations [6] - Notable figures in AI, including Geoffrey Hinton and Yann LeCun, faced rejection for their pioneering work, often due to reasons that seem absurd in hindsight, such as claims of lacking theoretical basis or being overly simplistic [6] Group 2: Specific Case Studies of Rejected Innovations - LSTM, a milestone in handling sequential data, was rejected by NIPS in 1996 during a period when statistical methods were favored, only to later dominate fields like speech recognition [8] - The SIFT algorithm, which ruled the computer vision domain for 15 years, faced rejection from ICCV and CVPR due to its perceived complexity and lack of elegance, ultimately proving the value of robust engineering design [11] - Dropout, a key regularization method for deep neural networks, was rejected by NIPS in 2012 for being too radical, yet it became crucial for the success of models like AlexNet [17] - Word2Vec, despite its revolutionary impact on NLP, received a strong rejection at ICLR 2013 due to perceived lack of scientific rigor, but it quickly became a cornerstone of text representation [19][20] Group 3: Reflection on Peer Review Limitations - The peer review system often struggles to recognize disruptive innovations, leading to a "simplicity trap" where reviewers equate mathematical complexity with research contribution [40] - Reviewers tend to maintain existing paradigms, which can hinder the acceptance of novel ideas that challenge traditional metrics of success [40] - The demand for rigorous theoretical proof in an experimental field like deep learning can stifle practical breakthroughs, as seen with the initial skepticism towards methods like Adam optimizer [40] Group 4: Broader Implications - The experiences of rejected papers illustrate the nonlinear nature of scientific progress, highlighting that peer review, while essential, is limited by human cognitive biases [41] - Historical anecdotes, such as Einstein's rejection of a paper on gravitational waves, emphasize that the true measure of a research's impact is its long-term relevance rather than immediate acceptance [42][44]

Company Operations & Expansion - Whimo's remote rider support team detected unusual activity, leading to assistance for a pregnant woman [1] - Whimo is rapidly expanding, with public rides more than tripling from last year [3] - The company is celebrating the event, highlighting its role in significant moments [3] Safety & Regulatory Issues - Whimo is facing a federal investigation regarding allegations of illegally running past stop signs on school buses [3] - Whimo stated that software updates have been made, and safety is a top priority [3] Unique Events - A pregnant woman gave birth inside a Whimo vehicle on the way to UC San Francisco Medical Center [1] - This is not the first time a baby has been born in a Whimo; it also happened in Phoenix [4]

Expansion & Timeline - Waymo is planning to launch commercial service in London in 2026 [1] - Waymo's vehicles are currently driving in London in preparation for the 2026 launch [1]

RT Waymo (@Waymo)Hello London! 👋 Our vehicles are now driving in London as we prepare for commercial service in 2026. https://t.co/My26Xi3G0F ...