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Tesla Model S Plaid is actually faster than its listed 1.99-second 0-60 mph time: report

Credit: MotorTrend

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The Tesla Model S Plaid’s 0-60 mph time is listed on the company’s website as 1.99 seconds, a figure that critics have challenged since it was revealed online. The idea of a four-door, family sedan that’s filled to the brim with fancy tech features is something almost alien, after all. Yet in a recent test by MotorTrend, the Model S Plaid actually proved faster than its listed 0-60 mph time, hitting highway speeds in just 1.98 seconds. 

Of course, a lot had to go right for the Model S Plaid was able to accomplish this feat. As per the publication, Tesla required the Model S Plaid’s 0-60 mph launch test to be done only on a VHT-prepped surface. VHT is a formulated synthetic resin used in drag racing to increase the traction of a car’s tires. More traction means more grip, which means that vehicles could typically achieve their optimum acceleration when launching. MotorTrend noted that Tesla was adamant that the Model S Plaid be tested on a VHT-prepped surface. 

Credit: MotorTrend

After some internal discussions, the publication noted that the MotorTrend team relented to Tesla’s demands, provided that the vehicle could be tested in its Fontana test track the next day. This would allow MotorTrend to test the Model S Plaid both on the company’s terms, and on the same conditions that it’s used for other vehicles it has reviewed in the past. And with that, the Tesla Model S Plaid’s launch test was validated. 

The Tesla Model S Plaid accelerated from 0-60 mph in just 1.98 seconds, faster than the company’s own figures on its official website. The quarter-mile run was achieved in 9.25 seconds at 152.6 mph, effectively making it the quickest production car that MotorTrend tested to date. Before the Model S Plaid, the fastest 0-60 mph time recorded by the publication came from the Tesla Model S P100D Ludicrous+, which hit 60 mph in 2.28 seconds. The fastest quarter-mile run was achieved by the Ferrari LaFerrari in 2015 when it completed a run in 9.74 seconds at 148.5 mph. 

Credit: MotorTrend

Both these records were shattered by the Model S Plaid. And that’s with the vehicle still not on the tires that would allow it to hit 200 mph, or the improvements that would likely be offered by a dedicated “Track Package.”  

That being said, these numbers were achieved under conditions that were specifically set by Tesla. On MotorTrend’s later test in its test track without VHT, the vehicle accelerated from 0-60 mph in 2.07 seconds. That’s still over 0.2 seconds quicker than the previous record-holder, and only 0.09 seconds more than its launch in a VHT prepped surface. The publication was not able to test the Model S Plaid’s quarter-mile time in its test track, but based on its calculations, the vehicle could have finished the run in 9.34 seconds at 152.2 mph. 

That’s not bad at all for a car that starts at less than $130,000. 

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Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.

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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