News
Tesla is primed for Formula E while its rivals are working in reverse
Tesla and Formula E: Will it ever happen? Probably not. At least, that’s what Elon Musk says, and he believes that production and scalability are more important. For the global EV scene, they certainly are, while professional motorsports are really just a trivial part of what Tesla does. While the company does build and create some of the fastest and highest-performing cars on Earth, it has no intentions of bringing them to a track or becoming a car company dedicated to winning shiny trophies. However, this didn’t stop other car companies from adopting different strategies.
Some companies, like BMW and Audi, for example, did their work in reverse. Years ago, when the Formula E Series became a real thing, these two companies were among the first to build a single-seat, all-electric powertrain that was extremely similar to the blazing fast F1 circuit. The only difference was that these new, sustainable racecars weren’t blaring loud motors for everyone to hear.
Instead of developing mass-market vehicles that would benefit the company in a multitude of ways, these automakers chose to work in reverse. Not focusing on building a reliable EV software infrastructure or production facilities to manufacture them in, German car companies went to their roots and focused o a few fast cars that would compete on the weekends at some of the toughest circuits in the world. But the problem is, they could have killed two birds with one stone by doing things in the correct order, which brings me to my next point: Tesla is already primed for Formula E, and it never had any intentions of competing.
A recent article from Bloomberg shows that BMW has decided to officially scrap its Formula E team at the end of this season, shifting its focus from racing and toward an intensifying EV market. The money it will save from not focusing on turning out fast laps at world-famous circuits will now be dedicated to developing EVs for consumers.
In the time that BMW has been racing in Formula E, it has only released one car: the i3, a boxy, widely unpopular car aesthetically. With plans to launch the iX, which it unveiled just last month, there are plenty of opportunities to establish a competitive lineup of all-electric cars in the future. But the focus has been all wrong from the start.
BMW didn’t have an overwhelmingly successful time in Formula E. Since it started racing in the series, which held its first race seasons ago, it has won only four races. But the company stated that it has “exhausted the opportunities to transfer Formula E’s pioneering racing technologies into passenger models.”
This is where the order of development may have been more advantageous for BMW. Now that their Formula E run is over, they have nothing to base passenger models off of, which pretty much puts them at square 1 if you take into account the i3 is not a widely popular or successful EV, to begin with.
This is where Tesla gains a real advantage in a hypothetical scenario where it would build cars for a racing series. Tesla has passenger vehicles now that could compete in several racing series, and other cars that actually have competed in racing forums like the Pikes Peak Hill Climb.
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For example, the Roadster is 0-60 in 1.9 seconds, has a quarter-mile acceleration of 8.8 seconds, and seats four people. The powertrain is already powerful enough to compete in some racing circuits, but if Tesla were to refine it slightly and build a new, more reliable chassis that would benefit racing scenarios, there is no reason that the Next-Gen Roadster wouldn’t be extremely competitive in some racing series.
The Model S Plaid is another example. It has broken multiple records, including one at the Nürburgring in Germany (which is unconfirmed) and the Laguna Seca Raceway in California. It already has the handling, speed, and downforce to take on tough tracks that are windy and difficult to maneuver. It would just take some minor refinements to make it a “racecar.”
This is where Tesla gains a significant advantage in its structure. It is irrelevant whether the company will actually race some of its cars or not, but it would be ready today if it chose to. Meanwhile, other car companies decided to build racecars first, and after seven years of R&D, they have nothing that would contribute to a highly-effective passenger car. It is like baking a cake before putting any of the ingredients together.
It doesn’t bode well for these foreign automakers, either. Unfortunately for them, Tesla is pulling away. Every day, it seems like the company is improving in range or performance or battery tech that makes its lead in the EV sector a little bit bigger than before. Now, it has four passenger cars on the road: Two sedans, a crossover, and an SUV. It has a Supercar on the way, a truck coming in the next year, a Semi that will be launched shortly. The list goes on and on, it seems, and if Tesla wanted to race a car this weekend and be competitive, it could.
It almost sounds like the priorities of these highly-complex German car companies were simply out of line. They chose to do the fun stuff first instead of focusing on the real task at hand: Getting gas cars off the road and putting electric ones on it. Instead of worrying about the issues surrounding the manufacturing processes of EVs, which took Tesla several years to figure out (and it is still a work in progress), BMW will be forced to make a full-scale commitment if it wants to be competitive within the next ten years. The decision it made could be detrimental to the future development of the company’s EV fleet. It certainly has its work cut out for it.
And if you’re wondering, Musk said Tesla would not get into racing. The big picture deals with manufacturing and scalability, and racing is really the last of the CEO’s concerns.
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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”
