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Tesla Model 3 production in China is opening doors to a lucrative car-sharing market
Tesla’s plans for China are ambitious, even by the company’s standards. By the end of summer, Tesla expects the initial construction of Gigafactory 3 to be complete, and by year’s end, the company plans to start Model 3 production in the facility. As the dust settles after the groundbreaking ceremony for Gigafactory 3, though, a notable opportunity for Tesla has also presented itself.
China represents the world’s largest auto market, and its EV industry is growing fast. Amidst this growth, the country has also seen the rise of car-sharing services, which provide commuters a way to get from Point A to Point B without the hassles of public transportation or the responsibilities of owning a car. An analysis from the Nikkei Asian Review last year estimated that car-sharing services in China could hire out as many as 2 million vehicles in 2020 — a notable increase from the 100,000 cars used in 2017.
Since CC Clubs, China’s first modern car-sharing company, was launched in 2010, the industry has seen a notable rise. Amidst the government’s initiatives that make car ownership trickier, the presence of car-sharing services was widely appreciated by the commuting public. Over the years, car-sharing services in the country have steadily transitioned to electric vehicles as well, augmented in part by the government’s subsidies in production and sales of EVs, as well as restrictions placed on ICE vehicles in a number of Chinese cities.
In response to this trend, Bloomberg noted that legacy automakers are launching initiatives to catch China’s car-sharing trend. Last April alone, Didi Chuxing, one of China’s most prominent ride-hailing firms, formed an alliance with auto companies such as Volkswagen AG and Toyota Motor Corp. to develop vehicles explicitly designed for car-sharing. Volvo Cars and Geely Automobile Holdings Ltd. have also launched a car-sharing feature for its new models through its joint venture, Lynk & Co.
It is this particular market that Tesla can breach with the vehicles that will be produced in Gigafactory 3. Tesla has established itself as a maker of premium, desirable electric cars in China, but its vehicles have always been weighed down by import tariffs, which hike up the cars’ prices. With Gigafactory 3 in the picture, though, Tesla would be able to produce and sell its vehicles on the same playing field as local automakers. This presents a valuable advantage to Tesla, which intends to exclusively produce affordable versions of the Model 3 and Model Y in Gigafactory 3.
Ridesharing actually forms a large part of Elon Musk’s vision for the future. In his Master Plan, Part Deux, Musk described his plan of launching a ridesharing service comprised of fully autonomous vehicles. During the third-quarter earnings call, Musk elaborated on his idea, stating that Tesla would be open to the idea of deploying its own fleet of vehicles in areas where there are few electric cars.
“Tesla will for sure operate its own ride-hailing service. There will be a company-owned fleet where there aren’t enough customer cars to be rented out. So if we find in a particular metro (where) there aren’t enough customers who are willing to add their car to the shared fleet, that’s where we’d supplant with the company-owned fleet. So that’s why it’s sort of a combination of the Uber-Lyft thing and Airbnb. We would charge something comparable to how you’d say the App Store works, or I don’t know, we’d charge 30% or something in order for somebody to add the car to the fleet. I think that’s a pretty sensible way to go.”
While Elon Musk’s Tesla Network would not be launched in China in the near future (Full Self-Driving is still under development and regulations for autonomous vehicles are yet to be decided), rolling out a simpler, more basic form of the service in the country would most likely bode well for the company. By deploying fleets of affordable, locally produced Model 3 in key cities for car-sharing, Tesla would likely be able to establish itself as a key player in China’s car-sharing market.
For now, Tesla’s entry into China’s car-sharing industry would likely depend on the progress of Gigafactory 3’s construction. With government support, there is little doubt that the facility would be completed within its target timeframe. If Tesla can keep up and establish a Model 3 assembly line on time, it might not be long before China’s car-sharing market welcomes another large, potentially dominant player.
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”
