There’s no denying that the Porsche Taycan Turbo is an incredible electric car on the track. Refined on the cruel turns of the Nurburgring, the Taycan embodies Porsche’s racing pedigree in an all electric package. This is why it was quite surprising to see such a vehicle bow down to a far more affordable and understated adversary: the Tesla Model 3 Performance.
China’s premier motoring site, Dongchedi, recently conducted a 24-hour test of the Porsche Taycan Turbo, benchmarking the vehicle against the Tesla Model S Performance and Model 3 Performance with Track Package. The news agency performed three main tests for the Taycan, which included a drag race and endurance test against the Model S and a time attack track run against the Model 3 Performance.
The Taycan Turbo is one of the most expensive electric cars in China. Commanding a price of RMB 1,498,000 (around USD 214,238) in the local market, the Taycan Turbo is over three times more expensive than the Model 3 Performance, which is priced at RMB 419,800 (around USD 60,038). It should be noted that the Model 3 Performance is still quite pricey in China, seeing as it is not yet being locally produced at Gigafactory Shanghai.
As noted by the motoring site, the Porsche Taycan Turbo actually performed really well during its test. Professional drivers who tested the vehicle over the 24 hour period praised the electric sedan for its driving dynamics, which showcases the best that Porsche has to offer. That being said, the Taycan did bow to the Model S Performance in the drag race, as it finished the quarter mile run in 10.99 seconds, just behind the Model S Performance, which completed the race in 10.56 seconds.
The Taycan Turbo also did well on its battery endurance test, running 452 km in one charge and impressively close to its NEDC rating of 462 km. In contrast, Tesla’s flagship sedan was able to run 505 km before it ran out of battery, 145 km less than its NEDC rating of 650 km.
For the Porsche Taycan Turbo’s track test, the Dongchedi team brought the vehicle to its closed circuit for a hot lap time attack test. But this time around, the Taycan Turbo had an additional competitor: the Tesla Model 3 Performance with Track Package. The Taycan Turbo showed its racing pedigree in the test, decimating the Model S Performance’s track time of 1:19:26 with its impressive 1:15:97 run.
However, the German made electric car’s win was short lived, as the much more affordable Model 3 was able to complete its hot lap in 1:15:78. Granted, the gap between the time attack results of the Porsche Taycan Turbo and the Model 3 Performance was very slim. Despite this, it is difficult not to be impressed by Tesla’s most affordable performance branded car.
There are very few cars out there in the Model 3 Performance’s price range that could give the Taycan Turbo some competition, after all, and there are even fewer that can actually humble the proud German made EV in an area that it’s designed to dominate. With such results, it would not be surprising if the Model 3 Performance becomes the vehicle of choice for the country’s mainstream racing enthusiasts, seeing as it offers performance that can compete with a Porsche on the track — at a fraction of the price.
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”
