News
Tesla and its Supercharger Network dominate 11-way 1,000-mile EV test
An 11-way, 1,000-mile endurance test has proven that long trips with an electric vehicle in the United States are now possible, though those who are not driving Teslas may find themselves a bit challenged. These were the findings of motoring publication Car and Driver, which held a long-distance race between 11 EVs that are currently sold in the United States.
The vehicles that participated in the test were the Tesla Model S Long Range Plus, Tesla Model Y Performance, Tesla Model 3 Performance, Ford Mustang Mach-E, Porsche Taycan 4S, Kia Niro EV, Audi e-tron, Volkswagen ID.4, Volvo XC40 Recharge, Polestar 2, and Nissan Leaf Plus. Participants in the event, which were comprised of two-person teams, were given free rein to select their own route, provided that they hit checkpoints in Cincinnati; Athens, Ohio; Morgantown, West Virginia; Erie, Pennsylvania; and Ann Arbor.
Despite using apps like A Better Route Planner (ABRP), some teams immediately started hitting some challenges just a couple of dozen miles into the race. The team in the Nissan Leaf Plus, for example, made its first stop at a charging station just 23 miles into the race, reportedly as suggested by the ABRP app, but this resulted in them being the last group to arrive at a single ChargePoint DC fast charger in Lima, Ohio, behind three other teams. The team in the Audi e-tron eventually gave up their spot in the queue to look for another charging station, but they eventually returned after the other charger they were hoping to use turned out to be offline.
The non-Tesla EVs with longer range such as the Ford Mustang Mach-E and the Volkswagen ID.4 fared slightly better, driving longer distances before needing a charge. When the vehicles did need a charge, however, the teams ended up experiencing similar issues as their competitors. From single ChargePoint DC fast chargers in some locations to areas with only Level 2 chargers available, some of the teams in the race ended up wasting valuable time. This was especially true for the Ford Mustang Mach-E team, whose lead against its non-Tesla peers tricked down as slowly as the Level 2 stations it ended up using north of Morgantown.
In comparison, the Tesla Model S, Model 3, and Model Y teams went through the race without much issues, and a good reason for this was the Supercharger Network. With the rapid charging station being as robust as it is today, the trifecta of Teslas dominated the 1,000-mile race. The Model S Long Range completed the race in commanding fashion, and it was followed by the Model Y team, who beat the Model 3 team through some extra assertiveness. This all but proved that if drivers wish to conduct long road trips in an electric vehicle today, Teslas are still the way to go. The Supercharger Network is just that good.
Ultimately, the Tesla Model S completed the 1,000-mile run in 16:14, followed by the Tesla Model Y, which finished the race in 17:50. The Tesla Model 3 took third place with a 17:55 time. The rest of the competition arrived over the following hours. The Ford Mustang Mach-E, the electric vehicle hailed by Car and Driver as its 2021 EV of the Year, came in at fourth place with a total time of 20:31, followed by the Porsche Taycan 4S, which had a total time of 21:00. The Kia Niro EV, the Audi e-tron, and the Volkswagen ID.4 all took over 23 hours to complete the 1,000-mile run, and the Volvo XC40 Recharge needed 25:47 to finish the race. The Polestar 2 took a surprisingly long 26:52 to complete its run, while the Nissan Leaf Plus took a whopping 32:57 before it crossed the finish line.
Watch Car and Driver’s 11-way 1,000-mile EV test in the video below.
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
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.
News
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”
