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Porsche Taycan debut set for September 4, top facts about upcoming sports EV emerge
Porsche has confirmed that the formal debut of its first modern all-electric car, the Taycan, is set for September 4, 2019 at 9 a.m. EST. The vehicle will be launched at three locations: one in Canada, one in Germany, and another in China. With the Taycan’s launch, Porsche would be breaching a premium EV market that is so far dominated by Tesla and increasingly populated by veteran automakers such as Jaguar, Audi, and Mercedes-Benz.
The Taycan’s unveiling is only a few weeks away, and Porsche has been notably more open about giving access to its highly-secretive vehicle to the media. So far, the vehicle has been received extremely well. Fifth Gear presenter and Fully Charged host Jonny Smith, for one, was allowed to test the repeatability of the Taycan Turbo’s maximum performance during launches. The vehicle proved impressive for the host, as he was able to launch at max power 26 times with nary a drop in the car’s 0-60 mph performance.
Motoring publication Car and Driver was also able to experience the Porsche Taycan Turbo. Together with Porsche product line director for EVs Robert Meier, the publication was able to get some unique insights on the upcoming vehicle. The Taycan pre-production prototype, behind all its camouflage, was equipped with active anti-roll bars, carbon-ceramic brake rotors, rear-wheel steering, air springs, and a 21″ wheel and tire setup.
During Car and Driver‘s ride-along, Meier noted that the Taycan, thanks to its floor-mounted battery pack, actually has the lowest center of gravity in the company’s entire lineup. Comfort was a key portion of the Taycan’s development process as well, considering that the vehicle will be marketed as a four-door sedan that’s a step beneath the Panamera (and in turn, the Tesla Model S) in size. Highlighting the Taycan’s quickness, the Porsche executive noted that the vehicle will not see a drop in performance even when the battery is discharged past 50%.
Also notable is that the Taycan, unlike Tesla’s offerings like the Model 3 Performance, features a two-speed gearbox on its rear axle. This marks one of the first times that a production EV will be equipped with a two-speed gearbox, and it should provide a sizable benefit in both performance and efficiency. It would be interesting to see how Porsche manages the Taycan’s gearbox, considering Tesla’s experience with the original Roadster. During Tesla’s early days, the company equipped the original Roadster with a two-speed gearbox, but the components just kept breaking since the gearboxes could not handle the punishment from the vehicle’s electric motor.
Porsche states that the Taycan will have a range of 500 km (311 miles), though Car and Driver notes that this figure is based on the European NEDC cycle, which is far more generous than the more stringent and real-world accurate EPA cycle. During its ride-along with the vehicle, the publication noted that the Taycan showed a predicted 234 miles of range on a full charge, which reportedly seemed accurate considering that the trip’s route consisted of twisty mountain roads and 70-mph highway cruising. Meier’s comments to the publication’s team about being “conservative” with the Taycan’s range figure further adds to the idea of the vehicle having a US range rating that’s likely closer to 200 than 300 miles.
The Taycan has other notable quirks, including, but not limited to, two charging ports, its lack of one-pedal driving, and its sound, which could be heard especially at low speeds. This was particularly audible during Fully Charged host Jonny Smith’s first drive of the vehicle. With its low, bass-filled whine, the Taycan sounds not unlike those futuristic vehicles in sci-fi films.
Watch Fully Charged‘s experience with the Porsche Taycan Turbo in the video below.
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”
