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Tesla quietly updates its 3rd-slowest sedan to be quicker than the Ferrari Testarossa

(Credit: The Drive/YouTube and Andres GE)

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When Tesla released the Mid-Range Model 3, it was positioned as an entry-level vehicle that is designed to provide a practical, reasonably-priced way for customers to get into the company’s ecosystem. The Mid-Range Model 3 was thus conservatively specced, with performance figures that were closer to that of the Standard Range Model 3 than the more expensive Long Range AWD variant. 

The Mid-Range Tesla Model 3 was launched with a 0-60 mph time of 5.6 seconds, a top speed of 125 mph, and a range of 260 miles. Since Tesla was not able to manufacture its Standard Range battery packs yet then, the electric car maker equipped the Mid-Range Model 3 with a Long Range battery pack with fewer cells, giving the vehicle its 260-mile range. The Mid-Range Model 3 was ultimately retired upon the arrival of the Standard Range and Standard Range Plus Model 3, which took its place as Tesla’s entry-level vehicle. 

Being part of the Model 3 family, the Mid-Range Model 3 has received improvements that the company has rolled out to the vehicle. In January, for one, Tesla updated the vehicle’s range to 264 miles per charge. Last March, the vehicle’s performance received improvements as well. And with Tesla’s most recent 5% over-the-air performance boost, the Mid-Range Model 3 got better once more. 

Tesla owner-enthusiast nukem384, who owns a Mid-Range Model 3, recently tested his vehicle’s acceleration after receiving the electric car maker’s most recent performance update. In the Tesla owner’s tests, the Mid-Range Model 3 was able to sprint from 0-60 mph in 4.9 seconds consistently. These figures are incredibly impressive, considering that breaking the 5-second barrier places the Mid-Range Model 3 into high-performance car territory. 

Such acceleration numbers, in fact, actually make the Mid-Range Model 3 quicker from 0-60 mph than the legendary and iconic Ferrari Testarossa, which was one of the Italian supercar-maker’s most recognizable vehicles to date. The Testarossa is arguably one of Ferrari’s best creations, and the exhaust note from its naturally-aspirated V12 engines is nothing short of legendary. The vehicle also received cult status for being the hero car in the popular show Miami Vice

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Performance-wise, the Testarossa is nothing to scoff about. The supercar is worthy of its Ferrari badge, with its 0-60 mph time of 5.2 seconds and its top speed of 180 mph. Mid-engined, raw, and unapologetically manual, the Testarossa is probably one of the most recognizable Ferraris ever made. A proper supercar, and one that is now capable of being outrun by a young automaker’s “3rd-slowest” family sedan after a free over-the-air software update

In the age of electric cars and internet-connected vehicles, over-the-air performance updates are a true difference-maker. Tesla is arguably the only automaker that does this today, but hopefully, as more carmakers follow the trend of tech-centric high-performance cars, OTA performance updates will soon be the norm. Until then, Tesla’s electric cars will likely keep improving as evidenced by a Tesla Model 3 Performance, a car without a dedicated Launch Mode, recently breaking the 3-second barrier in a 0-60 mph test.

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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