Tesla has recently detailed some of the improvements it’s working on for the Supercharger network, especially as it has slowly been expanding access to the stations to electric vehicles (EVs) from other brands.
As Tesla has begun giving new non-Tesla EV brands access to the Supercharger network this year, many have also noticed how charging port placement on other vehicles can make it harder for short cables to reach—often requiring drivers to block other charging stalls to plug in.
However, in a post on X from the Tesla Charging account on Friday, the company has highlighted four things it’s aiming to improve for all EV owners, including a boost to the number of long charging cables at its Supercharger stations. In particular, Tesla says that within the next 18 months, it will have more long V4 Supercharger cables at stations than short ones, as it aims to start upgrading shorter cables to meet the needs of other EV brands.
In the post, Tesla outlines the following four goals it’s working on as it dives into improving the charging network:
- Making stall availability more accurate than ever
- Increasing the number of long Supercharging cables
- Modifying Supercharger stations to avoid blocking stalls
- Encouraging manufacturers to follow suit with charge port locations
Tesla makes it easier to find towing-compatible Superchargers
Tesla says that the latest software update makes stall availability estimates even more accurate, as the vehicle is now able to detect when EVs with a non-Tesla charge port location are plugged into a short-cable stall. This algorithm is set to continue improving over time, making it easier for drivers to get an accurate picture of how many stalls are available, as well as how many are blocked out by those needing to park unconventionally to reach.
The updated stall availability algorithm is a big improvement, with nearby refresh rates now every ~15 seconds. We know car types plugging in and mapped out Supercharger site layouts, to know which stall is not available at short cable sites. Your Tesla's touchscreen now shows… https://t.co/5PF7wruNhQ— Max de Zegher (@MdeZegher) November 22, 2024
In addition, Tesla says it has already modified over 1,500 Supercharger stations to make it so that EV drivers never have to utilize more than two charging spaces to charge, and it plans to continue working on updating sites going forward. Lastly, the company has gone directly to other EV manufacturers to encourage them to move charging ports to the rear left of their vehicles or to the front right, in order to maximize compatibility with the company’s Superchargers.
As one example in March, Tesla’s Lead Cybertruck Engineer Wes Morrill encouraged Rivian CEO RJ Scaringe to re-consider the location of the charging port for the upcoming R2 and R3 platforms, after prototype designs for the EVs were first unveiled and showed the port on the rear right instead. If Rivian wants to optimize for street parking as it appears to be doing, Morrill says that the company should move the port to the front right instead.
The company’s deployment of longer V4 Supercharging cables also follows the company’s debut of V4 charging cabinets earlier this month, effectively debuting faster charging speeds of up to 500kW. Companies like Ford, Rivian, General Motors (GM), and Nissan have already started gaining access to Tesla’s Supercharger network after adopting the company’s NACS last year, and Tesla will continue to widen access to the charging stations in the coming months and years.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Ford to replace Tesla NACS adapters, warning of damaged charging ports
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”
