Connect with us

News

GM Cruise unit issues fleet-wide ‘recall’ following viral collision

Image Credit: @d_bau13/Twitter

Published

on

General Motors’ (GM) self-driving taxi unit, Cruise, has “recalled” its fleet of vehicles following a viral crash with a bus earlier this week.

Automakers worldwide are investing billions into autonomous driving, and while Tesla and Mercedes are currently the clear leaders, other top brands, including Ford, Hyundai/Kia, and GM, have also entered the mix. For GM, that comes in the form of its level 3 autonomous taxis serving the San Francisco area under the brand name Cruise. However, in this effort, there have been a few hurdles, and earlier this week, Cruise was forced to introduce a fleet-wide OTA update recall to fix an issue that made the company go viral.

As initially reported by Reuters, the Cruise robotaxi that has gained so much notoriety over the past week collided with a San Francisco bus, injuring nobody but causing minor damage to the Cruise vehicle. Now, to ensure this issue doesn’t reappear, Cruise issued an OTA update, stating that the vehicle had incorrectly predicted the movement of the bus in front of it.

The details of this week’s crash were outlined in a blog post from Cruise CEO Kyle Vogt. According to Vogt, the bus had driven in front of the Cruise vehicle roughly one block earlier, and the taxi followed the bus, continuing its pre-existing route. The robotaxi made an error when the bus stopped abruptly, which resulted in the autonomous vehicle colliding into the back of it at roughly ten mph.

The recall issued by the company affects all 300 of its vehicles, and according to the CEO, it will ensure that this rare situation doesn’t happen again.

Advertisement

“Fender benders like this rarely happen to our AVs,” began Vogt, “but this incident was unique. We do not expect our vehicles to run into the back of a city bus under any conditions, so even a single incident like this was worthy of immediate and careful study.”

Luckily, as noted by the CEO, this occurrence is quite rare, with the last time it happened being in early 2022. Nonetheless, Vogt states that this is only more reason to double down on safety and improve the product.

“The process we followed, in this case, is just one example of our commitment to safety and our ability to rapidly diagnose, react to, and remedy any issues we may encounter,” continued the Cruise CEO. “We will undoubtedly continue to discover ways in which we can improve, even if that involves changing software that is currently deployed in the field. We think any potential improvement to roadway safety is worthwhile, and we will approach it with the same level of rigor as we’ve demonstrated here. These continuous improvements are likely to make voluntary recalls commonplace.”

As for GM, the progress made by Cruise may become significantly more valuable as it plans to introduce more vehicles shortly capable of using its level 2 “SuperCruise” autonomous driving system. And while these products will be far from the capabilities of the Cruise taxis in California, they can serve as a taste of what is to come as America’s largest automaker continues to work on AV improvement.

What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

Advertisement

Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

Advertisement
Comments

Elon Musk

Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

Published

on

By

During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.

Advertisement


Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

Advertisement
Continue Reading

Investor's Corner

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Published

on

Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

Advertisement

Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

Advertisement
Continue Reading

Elon Musk

Tesla is about to make parking in busy lots less stressful than ever

Published

on

Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

Advertisement

Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

Advertisement

Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

Continue Reading