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Tesla Model S beats Porsche Taycan’s Nurburgring lap by ~20 secs: German auto mag

A Tesla Model S prototype on the Nurburgring. (Photo: Stefan Baldauf/Auto Motor Uund Sport)

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A German motoring publication recently reported that Tesla’s “Plaid Powertrain” Model S prototype on the Nurburgring has effectively destroyed the lap record of the Porsche Taycan around the iconic track. What’s particularly remarkable was that the Model S reportedly beat the Taycan’s time by a wide margin. 

German media outlet Auto Motor und Sport, which has been covering the region’s auto industry since 1946, stated in a recent report that the Model S beat the Porsche Taycan’s Nurburgring lap time by almost 20 seconds. An observer from the publication recorded a hand-stopped lap time of 7 minutes 23 seconds for the Model S, far quicker than the pre-production Taycan’s time of 7 minutes 42 seconds. 

Granted, the motoring magazine’s hand-stopped Model S lap time is bound to have corresponding inaccuracies, but this does not take away from the fact that Tesla’s largest sedan not only completed a lap around the Nurburgring without throttling its power; it did so in commanding fashion. This feat, if any, provides an encouraging indication of Tesla’s constant development of its vehicles, particularly with regards to its flagship sedan.

It would be easy to criticize or dismiss Tesla’s accomplishment for running a lap in a vehicle that is not yet available for purchase. Elon Musk, after all, announced that the Plaid Powertrain equipped in the Model S units at the Nurburgring is still about a year before it enters production. That being said, it should be noted that the Taycan unit that ran the 7-minute-42-second lap around the nearly 13-mile track is also a pre-production vehicle, complete with a roll cage.

Just like Tesla, Porsche did not disclose the specs and equipment set of the Taycan in its record-setting run either, only stating that it was a prototype unit with over 600 hp. From this angle, at least, the Taycan’s run and the Tesla’s Plaid Model S’ lap could be compared, considering that both vehicles had equipment that was installed for the Nurburgring run. 

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If Auto Motor und Sport‘s hand-stopped time is anywhere close to the official lap times of Tesla’s Plaid Model S prototype, the electric car maker will not only be able to beat the high bar set by the Taycan with its 7:42 run; it will be able to join the likes of vehicles such as the Enzo Ferrari and the Pagani Zonda F Clubsport, both of which lapped the Nurburgring in 7 minutes and 24-25 seconds. These vehicles are a class far above that of performance production four-door cars, save for monsters such as the Mercedes-AMG GT 4-Door Coupé 63 S 4MATIC+, which completed the Nurburgring in 7 minutes 25 seconds.

With the introduction of its Plaid Powertrain and three-motor setup for the Model S sedan and Model X SUV, Tesla appears to be setting the stage for the release of a line of vehicles that are excellent both in a straight line and on the track. Together with the next-generation Roadster, Tesla’s Plaid Model S and X will likely establish once more that electric cars are simply superior to their gasoline and diesel-powered counterparts in every metric.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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. 

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Credit: Grok

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.

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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.

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