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Tesla applies to sell new China-Made Model 3s with ternary batteries
Tesla China has applied for the approval to sell and receive subsidies for two new Model 3 variants. The two new configurations of the sedan will use lithium-ion ternary batteries that would be more favorable across China as varying weather conditions can affect the performance of the vehicles.
Documents found on the Chinese Ministry of Industry and Information Technology website show the company wants to sell two new Dual Motor variants of the electric sedan. It appears that the electric automaker could bring two new configurations of Tesla’s most popular vehicle could make their way to China shortly.
The chart found by @DKurac shows the two vehicles, “TSL7000BEVBA0” and “TSL7000BEVBA1,” along with their specifications.
The vehicles would use lithium-ion ternary battery packs instead of the lithium-ion phosphate power sources that Tesla used in its Made in China Model 3 Standard Range version.
Tesla Shanghai applies for approval of two M3 versions for sales and subsidies in #China, MIIT document shows.#LFP version gets approved for #auto purchase tax exemption. pic.twitter.com/Er2fysiQjY
— Moneyball (@DKurac) July 21, 2020
According to Large.net, lithium-ion ternary batteries are better for household electric vehicles because they can perform more efficiently with low-temperature resistance and ample rate charging.
Because of China’s massive land spread and vastly differing climate from area to area, the use of ternary batteries could be more beneficial to owners in the country. In Beijing, the highest temperature during the Summer months is around 104 degrees Fahrenheit (40 degrees Celsius). The lowest temperature in the winter can get down to 40 degrees Fahrenheit or 4 degrees Celsius.
The use of the ternary batteries could be more suitable for the wide temperature ranges that the Chinese climate has to offer. Lithium-ion phosphate batteries with a high-temperature resistance are not capable of performing as well in cold climates, which eventually leads to range depletion.
This issue was confronted by Tesla with the Model Y. The company, instead of modifying battery cells, installed a heat pump into the all-electric crossover that would increase efficiency while traveling in colder climates.
Still, the exact configurations of both vehicles listed are not definite.
Both of the cars that appear on the chart are Dual Motor configurations of the Model 3. Interestingly enough, the Performance variant is already for sale in China because it is listed on Tesla’s website. This development begs the question of which two dual-motor configurations are listed on the above application.
Interestingly enough, the vehicle recognized as “TSL7000BEVBA1” on the chart has a more robust rear motor than the other car that is listed. However, it also has less energy consumption per 100 kilometers and a higher range rating, which means it would not line up with the Performance variant’s characteristics.
Meanwhile, the Dual Motor Long Range All-Wheel Drive version of the Model 3 remains off of the website, for now.
In March, Tesla enthusiast @JayInShanghai spotted a fleet of Model 3 Performance vehicles leaving Giga Shanghai on a tractor-trailer. At the time, Tesla had not yet announced the Model 3 Performance to be available in China. Still, it was evident that the company was testing the configuration ahead of its production in China.
Tesla will expand the production of its vehicles in Shanghai as it begins to offer more Model 3 variants and is currently working on building the second phase of its Chinese Gigafactory for the Model Y.
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”
