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Elon Musk discusses Tesla FSD rollout challenges for Europe and China
It is no secret that Tesla’s future relies largely on the company’s ability to achieve true autonomous driving through its Full Self-Driving (FSD) program.
However, while FSD is making huge headways in North America, the program has yet to be rolled out in key markets such as Europe and China.
FSD milestones:
- Tesla has been initiating a continued push to roll out improvements to FSD, with recent v13 releases getting positive reviews from users.
- As hinted at by Tesla’s Q4 2024 Update Letter, FSD users have likely passed 3 billion cumulative miles since the program was launched in October 2020.
- Prior to the Q4 2024 earnings call, Tesla posted a video demonstrating Unsupervised FSD in action at the Fremont Factory.
- Elon Musk also reiterated during the recent earnings call that customers who bought FSD with their HW3 vehicles will get an AI4 hardware upgrade for free.
Europe challenges:
- While FSD is already training very well in North America, Elon Musk noted during the Q4 2024 earnings call that there are challenges to rolling out the system in Europe.
- In Europe, Musk noted that tons of regulations and bureaucracy make it difficult to roll out FSD in the region.
- “Europe is a layer cake of regulations of bureaucracy, that really needs to be addressed. This is like America innovates, Europe regulates. So, guys, there’s too many reps in the field. For example, for us, just to release supervised full self-driving in Europe, even though it works really well, we have to go through a mountain of paperwork with the Netherlands, which is our primary regulatory authority.
- “Then the Netherlands presents this to the EU in, I think, May. And there’s like this big EU country committee. We expect it to be approved at that time. There’s nothing we can do to make that happen sooner.
- “In fact, nobody seems to do — but I guess all the countries would have to somehow vote in some way to have it happen sooner than May. Otherwise, it wouldn’t happen sooner than May. So, when is unsupervised FSD a lot in Europe? I’m like May next year, maybe? I don’t know. Sometimes it’s a 12-month cadence, sometimes it’s six-month cadence,” Musk said.
China challenges:
- It’s not just Europe that is proving challenging. As per Musk, even China has some challenges when it comes to the rollout of FSD.
- “Then China, which is a gigantic market, we do have some challenges because they weren’t — they currently don’t allow us to transfer training video outside of China. And then the US government won’t let us do training in China. So, we’re in a bit of a bind there. It’s like a quandary.
- “So, we’re resolving that by literally looking at videos of streets in China that are available on the internet to understand and then feeding that into our video training so that publicly available video of street signs and traffic rules in China can be used for training and then also putting it in a very accurate simulator. And so, it will train using sim for bus lanes in China. Like bus lanes in China are one of our biggest challenges in making FSD work in China. Their bus lanes are very complicated. And there’s like literally like hours of the day that you’re allowed to be there and not be there.
- “And then if you accidently go in at bus lane at the wrong time, you get an automatic ticket instantly. And so, it was kind of a big deal, bus lanes in China. So, we put that into our simulator train on that, the car has to know what time of day it is, read the sign. Anyway, we’ll get this solved,” Musk said.


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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.
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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.