Just recently, Elon Musk confirmed that Tesla’s Supercharger Network would be opened to other electric vehicles later this year. More details about this upcoming initiative were shared in the second-quarter earnings call, including the process involved for non-Tesla EVs to access a Supercharger station, as well as the pricing for the service.
According to Elon Musk, owners of non-Tesla electric vehicles would have to download the Tesla App to access the Supercharger Network. Users would then have to indicate which stall they would be charging in, before plugging in their electric vehicles and initiating the charging session. Musk noted that this Tesla App-based system would likely work with any other manufacturer’s cars.
The CEO noted, however, that pricing for the Supercharger Network among non-Tesla EVs would be time-based, especially among vehicles that are not designed to charge as rapidly as Tesla’s vehicles. Peak and off-peak rates would be implemented as well.
“There will be time constraints. If the charge rate is super slow, then somebody will be charged more because the biggest constraint at the Supercharger is time, how occupied is the stall. And we’ll also be smarter with how we charge for electricity at the Supercharger. So rush hour charging will be more expensive than off-hours is charging because there are times when the Superchargers are empty and times when they’re jam-packed. And so it makes sense to have some time-based discrimination,” Musk said.
Opening the Supercharger Network in China and Europe would likely be simple enough, Musk noted, as EV charging connectors are pretty standardized in these regions. This is not the case in North America, where Tesla uses its own proprietary connector. As such, non-Tesla EVs in North America would have to use an adapter. Musk then noted that Tesla Supercharger adapters would be available for purchase, with some being offered in actual Supercharger Stations.
“In Europe and China and most parts of the world, it’s the same connector for everyone, so this is a fairly easy thing to do. We developed our own connector, which in my opinion is actually the best connector, it’s small and light and looks good and above standard. So we developed our own connector, which in my opinion actually the best connector. It’s small and light and looks good. So an adapter is needed to work for EVs in North America. But people could buy this adapter. And we anticipate having it available at the Superchargers as well if people don’t sort of steal them or something,” Musk said.
While numerous Tesla owners have expressed their reservations about the Supercharger Network being opened to other electric cars, Senior VP for Powertrain and Energy Engineering Andrew Baglino noted that the initiative would likely pave the way for an even more aggressive expansion of the rapid charging infrastructure. Musk agreed with this point, noting that Tesla has to grow the Supercharger Network more than ever before.
“Obviously, for the Supercharger Network to be useful to other car companies’ cars, we need to grow the network faster than we’re growing vehicle output, which is not easy. We’re growing vehicle output at a hell of a rate. So Superchargers need to grow faster than vehicle output. This is a lot of work for the Superchargers team, but it is only useful in the grand scheme of things. Just only useful to the public if we’re able to grow faster than Tesla vehicle output. So that is our goal,” Musk said.
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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.
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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”
