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Tesla Model 3 Performance nails consistent 3.3 second 0-60 mph runs in back-to-back tests
Tesla lists its Dual Motor Model 3 Performance with a 0-60 mph time of 3.5 seconds, but as acceleration tests of the car seem to suggest, the vehicle is actually faster than Tesla’s estimates. This was demonstrated recently by Tesla owner-enthusiast Erik Strait, better known as the host of YouTube’s DÆrik channel, as he performed back-to-back acceleration tests of the Model 3 Performance using a VBOX data logger.
The first VBOX stats of the Model 3 Performance’s 0-60 mph time was posted recently, but no video of the actual run was taken as per request of the car’s owner. A brief 0-60 run recorded with Dragy was posted a few days ago, but the vehicle in that video was equipped with Aero Wheels, which are optimized for range, not performance. Erik’s test was quite a bit different since the Model 3 Performance he drove was equipped with 20″ Performance Wheels and Michelin Pilot Sport 4S summer tires, which are part of Tesla’s $5,000 Performance Package.
Consistent with VBOX data shared by fellow Tesla owner-enthusiast Eli of My Tesla Adventure, DÆrik‘s acceleration test featured a consistent 0-60 mph time of 3.3 seconds. That’s 0.2 seconds faster than Tesla’s official performance listings for the vehicle.
A 3.3-second 0-60 mph time for the Model 3 Performance was actually teased by Elon Musk on Twitter, with the CEO stating that the electric car could have better acceleration if it gets fitted with stickier and thicker tires at the rear. Musk noted that thicker rear tires for the Model 3 Performance would make it possible to lower the vehicle’s 0-60 mph time to just 3.3 seconds. Erik’s recently uploaded video on YouTube is proof that 3.3 seconds is possible even when the vehicle is unmodified.
The Model 3 Performance has so far been getting rave reviews from veteran auto journalists. Dan Neil from the Wall Street Journal described the car as a “magnificent” piece of auto engineering that is “representative of the next step in the history of autos.” Kim Reynolds of MotorTrend, whose test drive of the vehicle was highlighted by a brief sprint on a freeway on-ramp, stated that “in maybe 120 wheel revolutions, a high-performance hierarchy has been rattled.” The auto veteran also stated that the “European marques perennially atop the sport sedan podium are about to have trapdoors release beneath them” with the arrival of the Model 3.
The Performance Model 3 might look practically identical to the car’s lower-specced variants, but the vehicle does have several tricks up its sleeve. Among these is a unique “Track Mode” beta feature exclusive to the Model 3 Performance (at least for now). In a statement to Road and Track, Michael Neumeyer, Manager of Chassis Controls for Tesla, stated that the Model 3 Performance’s Track Mode differs slightly from comparable features in other vehicles, which usually involve the disabling of traction control systems.
“Our Track Mode doesn’t disable features, it adds them,” Neumeyer said.
Tesla’s Track Mode is a mixture of tweaks and in-house programming that makes adjustments to the vehicle’s settings, including its dynamic control and regenerative braking. With the beta feature turned on, the Model 3 Performance becomes a car capable of maneuvers that are invaluable on the track, such as drifting and sharp changes in direction. The Model 3 Performance’s motors and battery use cooling circuits that are independent but linked as well. This means that as one component heats up, the car’s system shifts cooling capacity where it’s needed. With this approach, the Model 3 Performance becomes immune to the total performance shutdowns that happen in vehicles like the Model S P100D when temperatures spike.
Watch DÆrik‘s VBOX-recorded Model 3 Performance 0-60 mph run in the video below.
https://youtu.be/8P8DZKFUw3k
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”
