Fortune | FORTUNE 6小时前
‘Elon is gambling’ — How Tesla is proving doubters right on why its robotaxi service cannot scale
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埃隆·马斯克的特斯拉自动驾驶出租车服务近期在奥斯汀扩张,但用户反馈和数据分析显示,其软件仍存在诸多问题,包括未能识别火车、闯红灯和误入逆行道等。尽管用户表示技术已大有进步,但批评者认为,特斯拉在推广过程中未能充分打磨技术,尤其是在安全性方面,与竞争对手Waymo相比仍有差距。数据表明,即使是最新版本,平均每340英里仍会出现一次重大脱离,这与安全运行所需的近乎完美标准相去甚远。有观点认为,此次扩张更像是为了应对销量下滑和提振投资者信心而采取的公关策略,而非基于技术成熟度。文章强调,自动驾驶技术的信任建立于透明度之上,特斯拉拒绝公开详细数据,反而要求监管机构保密,这进一步加剧了外界的疑虑。目前,特斯拉自动驾驶服务在安全性和可靠性方面尚未达到可大规模推广的水平,过早扩张可能将乘客置于风险之中。

⚠️ **技术成熟度堪忧,安全隐患依然存在。** 用户报告的案例包括特斯拉自动驾驶车辆未能识别火车并试图闯过铁路,以及在其他情况下出现闯红灯、误入逆行车道等严重交通违规行为。这些问题表明,尽管特斯拉的自动驾驶技术在过去几年有所进步,但离安全可靠运行的标准仍有较大差距,尤其是在复杂或突发状况下的应对能力有待提高。

📊 **第三方数据揭示可靠性不足。** Elias Martinez维护的FSD社区追踪器是公开领域最可靠的特斯拉自动驾驶数据来源之一。该数据追踪显示,即使是最新版本的FSD,平均每340英里就会发生一次关键性脱离(critical disengagement),这意味着在实际运行中,车辆仍需人工干预的情况并不少见。这与自动驾驶服务需要近乎完美才能安全扩展的要求相去甚远。

🚀 **扩张时机与动机受质疑。** 尽管特斯拉在奥斯汀扩展了自动驾驶出租车服务范围,但有批评者认为,此举可能更多是为了应对公司近期销量下滑以及Cybertruck的市场表现不佳,从而提振投资者信心。目前,服务扩张并未带来车辆数量的明显增加,且仍需人工安全观察员在车内监控,这表明其并未准备好真正意义上的规模化部署,更像是营销策略而非技术实力的体现。

🔒 **信息不透明加剧公众不信任。** 文章指出,建立自动驾驶技术的信任需要完全的透明度。然而,特斯拉不仅拒绝公开其详细的自动驾驶安全数据,反而要求联邦监管机构将其视为商业机密予以保密。这种不透明的做法与行业内普遍期望的公开数据以建立信任的原则背道而驰,使得公众对其安全性和可靠性的评估更加困难。

📈 **发展道路仍漫长,竞争格局待观察。** 与竞争对手Waymo已积累的数千万英里无监督驾驶里程相比,特斯拉在自动驾驶领域仍处于早期阶段。投资者对特斯拉能否在不久的将来追赶并超越Waymo表示担忧。同时,自动驾驶技术在为残障人士等边缘群体提供出行便利方面的潜力巨大,但前提是技术必须达到极高的安全和可靠标准,以赢得公众的信任和接受。

The very day Elon Musk expanded the boundaries of his three-week-old autonomous ride hailing service in Austin, Joe Tegtmeyer’s Tesla tried to illegally run a railroad crossing just as a locomotive approached.

“The robotaxi did not see that, and the safety observer had to stop the vehicle until the train had passed. So there’s a little bit of work that still needs to be polished up with the software, but otherwise it’s been just an amazing opportunity to see how well the expanded service is working,” he said on Monday in a post on X.

Taking what might have been a life-threatening situation seemingly in stride, Tegtmeyer then argued in favor of Tesla adding more cars to the 10 or so currently on the roads to cut waiting times that had ballooned to 20 minutes.

None of this comes as a surprise to Elias Martinez. One of the earliest Full Self-Driving beta testers, he says Tesla’s software has “come a long way” over the past four years. But he argues all available evidence points to the technology being nowhere near robust enough to support the 10,000 cars Musk claimed in May were possible in theory on day one. 

“These issues prove Tesla should never have launched even with just 10 vehicles,” he tells Fortune. “Yes, it works most of the time, but it blows my mind we’re still seeing issues like FSD running red lights or driving on the wrong side of the road. This shouldn’t be happening on such a regular basis.”

The problem is with each car added, the greater the statistical chance of a collision. Any robotaxi service, Waymo included, needs to be virtually flawless in order to scale the service safely—yet with Tesla there’s no sign of that, according to Martinez.

A distraction from declining sales numbers

The former U.S. Marine hosts the crowd-sourced FSD Community Tracker, the single most sophisticated and reliable form of empirical data collection and analysis on Tesla’s self-driving technology that is publicly available. Car executives like Volkswagen Autonomous Mobility CEO Christian Senger speak highly of it as a benchmark, and even Musk—who has his own internal data on disengagements that he refuses to share—singled it out as proof the company is making progress.

Developed with the help of a Canadian Tesla driver, his tracker is simple and easy to use: during a trip, FSD beta testers like Martinez catalog in real time problems that arise directly into the vehicle’s onboard infotainment system, where it’s stored until it can be uploaded to the internet. Drivers are incentivized through weekly recognition of the top contributors, turning it into something of a friendly competition.

Currently, its data shows even the latest FSD version from Tesla results in a critical disengagement roughly every 340 miles between both city and highway at present. Called 13.2.9, it rolled out in May just weeks before the Austin service launched. “You sometimes hear Elon saying, ‘we’re having a hard time finding disengagements.’ That is such BS,” Martinez adds.

Although the Austin robotaxi fleet is believed to be using a newer iteration, in Martinez’s estimation it closely approximates the performance of the version released to the public since they reveal similar shortcomings, such as driving in the wrong lane.

He believes Tesla has been more focused on meeting Musk’s June launch timetable come hell or high water than on perfecting the actual underlying technology. Since demand for his EVs dropped sharply in the first half of the year and his Cybertruck has proven to be a commercial flop, the CEO needs something to keep investors happy. 

“This feels like a distraction from the declining sales numbers,” he said, adding “Elon is gambling.”

In the meantime, the last major update Tesla owners received, v13.2.1, launched to the public seven months ago.

The company did not respond to a request to comment on this or any other point related to its FSD self-driving technology.

Musk stakes future on game-changing technology

When Tesla hosts its second-quarter earnings call after the close of markets on Wednesday, Musk will face a barrage of questions around the roadmap of his robotaxi pilot. At press time, the top-ranked issue is the performance he’s seen so far in Austin and how soon the service can scale in terms of new cities and more vehicles.  

Investors have a lot of money riding on FSD, and will want answers as to how soon 10 cars in Austin can grow to thousands across the country. Only then will they get a feeling for how long it will take Tesla to leapfrog Waymo, going from zero unsupervised miles currently to the 100 million just recorded by its archrival.

The technology could prove a game changer, especially for marginalized communities like the handicapped. Jessie Wolinsky, a legally blind millennial who video blogs about her experience slowly losing her eyesight, told California regulators she was grateful for being part of Waymo’s trusted rider program.

“It has provided me with a feeling of safety that I’ve never had before.,” she said at an August 2023 hearing shortly before the state voted to greenlight the technology. “I get into a Waymo vehicle, not only am I able to get to where I need to be on my own terms, which is huge, but I am able to do so without the fear of being harassed, groped, assaulted, attacked or potentially worse.”

Musk staked the company’s fortune on the robotaxi service, which now must generate the profits needed to fund his Optimus robot program currently under development. 

If you want trust, you need full transparency

But autonomous driving at its heart is a technology steeped in statistical eventualities. How many cars are operating at the same time and how many miles do they collectively log before the first accident occurs—thousands? Millions? More? 

Flying may seem like a dangerous endeavor to some, but there is no form of mass transportation safer since 99.9999% of flights land without incident. Companies like Tesla and Waymo now need to demonstrate a similar level of reliability despite variables far exceeding a plane flying through a relatively less crowded sky. 

For that you need extensive, detailed data — the kind that Martinez collects with the help of the Tesla community. If you ask the company for answers, though, you’ll get none — just the opposite in fact. Instead of attempting to gain public trust through transparency, Musk’s company is currently pressing federal regulators to bury its robotaxi safety record, claiming the data must remain confidential for business reasons. 

“This shouldn’t be proprietary. You’re driving on public roads so the data needs to be made available,” he said. “The fact that they’re hiding data should tell you everything you need to know. If you really want trust, you have to have full transparency.”

Instead, Musk only releases a quarterly crash statistic for his FSD beta program, now called FSD Supervised: for the first three months of this year Teslas drove 7.44 million miles before an accident. While this is a sterling result compared to the 700,000 miles for the average American driver, these are not robotaxi miles—they rely on drivers intervening before a collision ensues. 

And even these figures, Martinez argues, should be vetted independently by regulators before being taken as credible: “If you leave it to a company, they will filter it to fit their narrative.”

Not ready to scale safely

Meanwhile, Tesla’s response seems to laugh it all off. On Monday, Musk thought it would be funny to expand the area covered by its three-week-old Austin robotaxi service to resemble a giant penis when seen on a map. 

“Harder, better, faster, stronger,” the $1 trillion company wrote on Monday, a double entendre referencing the synth pop track of the same name by Daft Punk, a duo appropriately known for performing as robots. Musk approvingly reposted the phallus-shaped service map, adding the fare would now be hiked to $6.90 per ride from $4.20 previously, both numbers the 54-year old often employs for comical effect.

In short, the geographic expansion seemed more like a PR stunt more than anything else. The number of cars collecting fares has not appeared to change; Tesla continues to limit the number of people that can use the service; and human safety monitors still sit in the vehicle.

On the prediction site Polymarket, speculators have put the probability Tesla will have a fully functioning robotaxi service anywhere in the country at anytime during the rest of this year at just 42%, down from a high of 86% one month ago.

“It shows they’re not ready to scale, and if they did try to prematurely scale, they’re going to run into problems,” Martinez says. “Then you’re putting people at risk. Yes, maybe it’s a lower risk compared to a drunk driver, but it’s still a risk.”

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特斯拉 自动驾驶 FSD 机器人出租车 汽车安全
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