Tesla was found to be one of the most unreliable brands in America, according to Consumer Reports’ annual reliability report.
Consumer Reports‘ annual reliability rankings have been released, and with data from 24 brands and over 300,000 vehicles, Tesla fell near the bottom (19/24) along with Mercedes-Benz, Jeep, Volkswagen, GMC, and Chevrolet. Electric vehicles overall also placed poorly, being the second least reliable category of vehicles. Hybrids/plugin hybrids, especially those from Toyota, were found to be the most reliable.
Before diving deeper into the rankings, it is crucial to understand how Consumer Reports creates its yearly reliability rankings in the first place. This year, the company surveyed over 300,000 vehicles (sold between 2000-2022), and over the past year, owners were asked to report issues they had with their vehicles. Issues were categorized into 17 categories; engine issues, transmission issues, interior electronics issues, etc. From this accumulation of data, Consumer Reports then gives each brand a grade out of 100 regarding their overall reliability.
Consumer Reports also stipulates that they will only rank brands that they have “sufficient survey data for two or more models.” Hence the absence of brands such as Rivian, Alfa Romeo, and Lucid.
Tesla scored a reliability score of 40/100, while electric vehicles overall scored 36/100. It isn’t all bad news for Tesla; its score matches the average for domestic automakers, the company was able to improve its ranking by four places compared to last year, and none of its vehicles made it to the list of 10 least reliable vehicles in America. A list that notably included the popular Hyundai Kona EV scoring 5/100.
Conversely, hybrid and PHEV vehicles crushed the competition with an average score of 78/100. And unsurprisingly, the brand with the most extensive representation within that segment, Toyota, achieved the number 1 spot with an overall reliability score of 72/100. Toyota was joined by Lexus, BMW, Mazda, and Honda in the top 5 (descending order).
Consumer Reports’ results lead to one central question, what influenced Tesla (and electric vehicles generally) in scoring so low compared to the competition? This question becomes especially confounding when the prevailing narrative is that “electric vehicles are generally more reliable than their gas counterparts.”
Consumer Reports’ analysis only addresses this question once, noting that “As more EVs hit the marketplace and automakers build each model in greater numbers, we are seeing that some of them have problems with the battery packs, charging systems, and the motors in their drive systems. Owners of the Chevrolet Bolt, Ford Mustang Mach-E, Hyundai Kona Electric, and Volkswagen ID.4 all reported some of these issues.”
Another couple of issues that may be plaguing Tesla include build quality and software problems. Tesla has notoriously had quality control issues, which will certainly not aid its reliability score. At the same time, as Tesla attempts to offer the bleeding edge of software innovation, they undoubtedly encounter more software issues than have been typically seen in the automotive space. And while these problems are typically fixed through updates and technical support quickly, they could easily contribute to Tesla’s poor performance.
Looking to the future, it is clear that Tesla needs to continue to dedicate itself to improving QC and general reliability. It is easy to say, “Tesla needs to increase production,” but consumers will pay the price if this production expansion comes at the cost of reliability.
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.