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Tesla gives update for early FSD adopters with legacy Model S, Model X vehicles
Longtime Tesla FSD adopters with legacy vehicles recently received an update from the electric car maker. The update sheds some light on what is waiting for customers who purchased FSD and are still driving legacy Model S and Model X vehicles today.
Tesla functions like a tech company, so it is no surprise that it has moved very fast over the years. This means that constant improvements to its vehicles’ hardware are being implemented as soon as they are ready. This also means, however, that the latest updates to systems like FSD (Supervised) or Autopilot are mostly focused on vehicles that represent the majority of the company’s fleet.
This was highlighted by Elon Musk in a recent post on X, when he noted that while Tesla’s Hardware 4 will ultimately be better, all training that the company is doing right now is for Hardware 3 vehicles. Hardware 4 is just running on emulation mode.
Within Tesla’s pursuit of autonomous driving lies a group of Model S and Model X owners who bought into FSD even before the Model 3 was ramped. These owners were promised that their vehicles would have the necessary hardware to be self-driving one day, but they have not received much of Tesla’s Autopilot and FSD improvements to date. Granted, Tesla has launched a hardware upgrade program for legacy vehicles, but they are paid options that some owners have refused.
It was then no surprise that amidst the excitement for FSD (Supervised), some legacy Model S and Model X owners have expressed their frustration at being left out again. Among these is Anthony Spina, who noted in a post on X, that “all of us legacy S/X owners still haven’t received V12 yet, with no official communication stating whether or not we even will. MCU1 FSD S/X owners have been living in the dark on this for years, and now MCU2 owners are beginning to be lumped into this group as well, at least it would seem on the surface.”
Thanks @Speenuh and others who have posted on @X about this. While we normally prioritize our paid FSD customers to the extent possible, there is a group of S/X customers (~3% of total FSD eligible vehicles) who have a different hardware which the @Tesla_AI team is working to… https://t.co/W3l3SYlVZu— Rohan Patel (@rohanspatel) March 31, 2024
In a response on X, Tesla Vice President of Public Policy and Business Development Rohan Patel explained that the electric vehicle maker is putting a lot of efforts into releasing systems like FSD (Supervised) to older vehicles. The executive noted that Tesla cannot give a timeline as to when FSD would be released to older vehicles, but the company’s AI team is working on it.
“Thanks @Speenuh and others who have posted on @X about this. While we normally prioritize our paid FSD customers to the extent possible, there is a group of S/X customers (~3% of total FSD eligible vehicles) who have a different hardware which the @Tesla_AI team is working to validate. We have a rigorous safety validation cycle for every software update, and we are working as hard as possible to ship the latest builds to all customers. We don’t want to give false precision on timing until the validation can be completed, but want you to know we are focused on trying to solve this. Many of you have been with us on the FSD journey from the start and it’s super appreciated,” Patel wrote.
We ? get it and understand and sincerely appreciate the patience. Our software engineers and validation teams really are doing all they can to try and solve even on Easter Sunday.— Rohan Patel (@rohanspatel) March 31, 2024
In a follow-up post, the Tesla executive also noted that the company understands the frustration of its legacy customers. “We 100% get it and understand and sincerely appreciate the patience. Our software engineers and validation teams really are doing all they can to try and solve even on Easter Sunday,” the executive noted.
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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.