Last week, Elon Musk tweeted in a series of updates that Tesla would be attempting to service two-thirds of customer requests “same day.”
One of the many benefits of owning an electric vehicle is the lack of service required. According to Autoblog, of the top 5 most common car repairs – oxygen sensor replacement, inspection of loose fuel cap causing engine light, catalytic converter replacement, mass airflow sensor replacement, and spark plug replacement – none of them are even possible on an electric vehicle. Nonetheless, due to a range of issues, Tesla has had a consistent problem with servicing its ever-growing group of customers’ needs. Musk is set out to change this, and owners should have many reasons to be optimistic!
Working on Tesla North American service.
Goal is 2/3 of cars receive same-day service, no wait.
— Elon Musk (@elonmusk) June 4, 2022
Looking at Tesla’s service problem, it is multifaceted and often self-feeding in nature. To start off, quality control at Tesla has been a known problem, with customers experiencing everything from missing badges to paint issues to panel gaps. All of these issues must be serviced, and much of this service will be done at one of the company’s service centers.
Quality control (QC) service requests, when combined with normal service load, mean that Tesla service centers’ availability is often impaired. Tesla Motors Club forum even has a thread dedicated for service center wait times. This means that customers may be forced to wait longer periods before service, and if the service is not done 100% correctly the first time, the service center doesn’t have the capacity to bring them back immediately.
This lack of availability is compounded by Tesla’s lack of service centers as a whole, some states having only single-digit numbers of service centers available. This means that the service centers that do exist are responsible for a larger number of vehicles. And while independent service centers exist commonly throughout the US, many refuse to work on Tesla products or any electric vehicles for that matter, even when they have the capability to do the work. Once again, this forces more service requests to Tesla service centers.
Credit: Tesla
Finally, because new car QC requests are often covered by Tesla at no cost, this incentivizes customers to go to service centers for free work instead of going to independent shops that may be able to help them.
These problems have not been ignored by Elon Musk, and since 2018, Tesla has addressed many of these concerns. Most predominantly, since 2018, the number of service centers and the area that they cover has increased drastically. Looking at a map of 2018 and comparing it to now, areas such as New England, the Pacific Northwest, and the South have all seen massive increases in capacity. Tesla aimed to open one new Service Center per week in 2021, and, in general, the automaker has experimented with many different specialized service programs.
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- Map of Tesla service centers in the US as of 2018.
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- Map of Tesla service centers in the US in 2022
This is combined with an increase in capacity in Tesla’s mobile repair teams, who can often address service requests before the customer has to come to a service center. And in more recent news, Tesla has even made their repair manual free for customers to access, allowing more repairs to be done outside of service centers.
Another obvious change consumers have seen is an improvement in QC. Even according to JD Power’s rankings of brands by initial quality, from 2020 to 2021, Tesla has reduced the number of “problems per 100 vehicles” from 250 in 2020 to 231 in 2021, a number that is competitive with brands like Audi (240) and VW (213).
Service centers themselves have also been changed over the past 4 years with the inclusion of F1 style pit lanes that allow customers to be more quickly addressed and hence allow the service team to address more requests in a day.
Nonetheless, many have been concerned that these changes have not been enough to fix the Tesla service issue. Leading many to think about what could be done to improve the situation. A couple of options have been put forward by industry professionals and Twitter users alike. One such suggestion has been the expansion of the Tesla START program, a program that teaches individuals how to work on Teslas and then places them with a full-time job at a Service Center location across the country. Currently, the program is offered at eight colleges across the country: Rio Honda Community College in Los Angeles, Central Piedmont Community College in Charlotte, North Carolina, Shoreline Community College in Seattle, Evergreen Valley College in San Jose, California, Suffolk Community College in Selden, New York, Miami Dade College in Florida, Texas State Technical College in Waco, Texas, and Sinclair Community College in Dayton, Ohio.
Overall, the changes made in the past 4 years should give Tesla’s current and future customers much to be optimistic about. QC has improved, the speed of service operation has increased, service manuals are free and open to anyone, and the number of service centers has increased. The only question is, what is Elon Musk planning on implementing next to improve Tesla’s Service department?
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
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
