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Tesla Model 3 is winning over China’s growing middle class
The success of the Tesla Model 3 with China’s growing middle class is helping the company deepen its business in the country’s competitive automotive landscape and the world’s largest electric vehicle market.
Thanks to China’s economic growth in recent decades, the country has seen the emergence of a growing middle class. Pew Research estimates that between 2001 and 2011 alone, more than 203 million people crossed the threshold into the middle class in China. By 2015, Credit Suisse concluded that China had overtaken the US as the country with the largest middle class. The Global Business Policy Council further noted that by 2025, estimates point to private consumption in China being the largest contributor to the country’s economic growth.
Similar to the United States’ middle class and the concept of “keeping up with the Joneses,” China’s middle class appear to be increasingly motivated by the concept of “keeping up with the Wangs.” As such, purchases that improve one’s social image, such as premium gadgets and clothing, have become commonplace. This is the demographic that Tesla can perfectly capture with the Model 3, as it is a vehicle that offers premium electric mobility at a price point far more attainable than the company’s previous offerings, the Model S and X, which have become popular status symbols for the wealthy.
Currently, the Model 3 starts at 433,000 yuan (around $64,000) in China, and Tesla has even started offering free Autopilot as a limited time offer. These strategies will likely attract the attention of middle class buyers in the country, at least until Gigafactory 3 comes to life later this year. If Elon Musk’s estimates prove accurate, Tesla can start making affordable variants of the Model 3 in China, which will be even more attainable to consumers.
Apart from the Model 3 being Tesla’s most affordable vehicle in China today, other factors that seem to be helping the electric sedan include the country’s growing middle class and the nation’s open support for electric vehicles. China has adopted a friendly stance towards electric cars, and it is becoming evident in the country’s automotive sales.
In 2018, for example, electric vehicle sales in China rose 83% year-on-year, allowing the country to push more than 1 million EVs over the year. These figures become even more notable considering that overall light-duty vehicle sales in the country actually declined by 2.76% in 2018, as noted by the China Association of Automobile Manufacturers (CAAM).
Local news reports note that Tesla sales sank 15.4% year-over-year in 2018 as the Model S sedan and Model X SUV were weighed down by steep tariffs resulting from the trade war between the United States and China. With this in mind, the immense interest being generated by the Model 3 among the country’s car buyers has been a very pleasant surprise.
It is undeniable that Tesla’s business in China has seen its ups and downs over the years. Despite challenges such as the initial issues with Model S deliveries in the past to the effects of the recent US-China trade war, the company’s electric cars have nonetheless kept their place as one of the ultimate status symbols for consumers. With the Model 3 just about ready to saturate China, Tesla can finally tap into what could be a very lucrative market.
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.