News
Watch Tesla’s FSD tackle water cup challenge, dirt roads in China
How does Tesla’s Full Self-Driving face off against competitors in China when it comes to smoothness and scalability?
Tesla’s Full Self-Driving (FSD) started going out for testing in China last month, representing the first market outside of North America to get the software. Amidst competition in the automated driving space from a number of other Chinese companies, Tesla’s FSD seems to be impressing in early reviews, with recent reviews highlighting both the software’s smoothness and its ability to adapt and perform well on non-traditional roads.
In a Saturday video originally posted by user 王船船 on Douyin, the Chinese version of TikTok, a driver utilizes the Supervised FSD system while performing what’s called the “water challenge,” in which a cup of water is balanced on the driver’s side window ledge to see if driving is smooth enough to avoid spilling.
The drive spans a little more than four minutes, and the system manages to make it through without the water spilling in any substantial quantities. The driver mostly remains on city streets, but you can see a handful of quick, unexpected stops, turns, and other maneuvers that one might expect to make the cup tip completely.
The video was also reposted on X by Tesla’s main account, with the company highlighting the system’s “maximum smoothness” as demonstrated in the video. Tesla VP of AI Ashok Elluswamy also reposted the video, saying in a separate follow-up post that “FSD’s been prepared for this one.”
Maximum smoothness https://t.co/p4aM3StgRk
— Tesla (@Tesla) March 15, 2025
Although Tesla’s FSD system didn’t have access to real-world driving data from the company’s vehicles at the time of its launch in China, Elon Musk recently explained that the company used publicly available video from the internet to help pre-train FSD for Chinese streets and traffic laws.
In addition to helping with city streets, Tesla has explained in the past that its camera- and video-based FSD neural network training makes the system easily scalable to multiple countries, fringe traffic cases, and even less traditional roads.
As another example of this in China, FSD testers also took to some dirt roads last week, showing just how well the software seems to handle some seemingly-deep and super-narrow back roads. You can see excerpts from this video below, or check out the full 25-minute version from user AE68 on Douyin.
Tesla FSD testers in China do seem to be built different. That’s some REALLY rural roads!
— TESLARATI (@Teslarati) March 14, 2025
READ MORE ON TESLA CHINA: Cheaper Tesla Model Y may launch in China
Tesla’s FSD in China amidst local competition
Tesla officially launched a localized data privacy version of FSD Supervised in China last month, The launch came amidst a headstart from multiple competitors in the autonomous driving space, including from Chinese automakers Baidu, Huawei, and still others.
The Avatr 11 electric vehicle (EV), a jointly created project from Changan New Energy, CATL, and Huawei, was recently seen being tested by Out of Spec’s Kyle Conner. The system uses Huawei’s latest automated driving system technology, Qiankun ADS 3.2, which Conner recently said was “the best driver assistance he’s ever experienced” in a recent review on his trip to China.
You can see this video and an additional video from Conner and Out of Spec discussing the emerging autonomous vehicle industry in China below. It’s also worth noting that both of these were released just a few weeks before Tesla’s first version of FSD launched in the country.
The Best FSD System In China! 1 Hour Drive Using Huawei Qiankun ADS 3.2 Installed In Avatr 11 (2/1/25)
The EV Industry Isn’t Ready For China’s FSD Breakthrough (2/2/25)
Elon Musk clarifies the holdup with Tesla Full Self-Driving launch in Europe
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.
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”
