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Tesla Model 3 earns ‘Superior’ front crash prevention rating by IIHS in safety test

[Credit: IIHS]

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The Tesla Model 3 has attained a “Superior” front crash avoidance rating from the Insurance Institute for Highway Safety, a nonprofit organization funded by auto insurers dedicated to reducing the number of accidents and injuries on the road. The Model 3’s headlights were also given an “Acceptable” rating, due to some glare from the vehicle’s low beams.

The IIHS’s front crash avoidance ratings for the Model 3 are only part of the vehicle’s safety results. The IIHS conducts its full evaluation on several vehicle samples, some of which would be destroyed due to crash tests.

The Model 3 has managed to earn a “Superior” score for front crash prevention in the crash avoidance and mitigation category. The IIHS evaluates the automatic braking functions of vehicles in two tests — one at 12 mph and the other at 25 mph — on its Vehicle Research Center. As noted on the nonprofit’s website, the IIHS awards points based on how emergency systems can slow a vehicle down before coming into contact with an object — in this case, an inflatable car dummy.

The Tesla Model 3 was granted a perfect score, earning points for its Forward Collision Warning, its low-speed autobrake, and its high-speed autobrake systems. During its 12 mph collision avoidance test, the Model 3 was able to reduce its speed by more than 10 mph, and in in the 25 mph test, the compact electric car was able to exhibit a speed reduction of over 22 mph.

While the Model 3 earned a perfect rating for front collision avoidance, the electric car’s headlights were only dubbed as “Acceptable” by the IIHS. Headlights are evaluated based on the lamps’ reach as the vehicle travels on straight and curved lines. Low beams are measured on five approaches — straightaways, left and right curves on an 800-foot radius, and sharp left and right curves on a 500-foot radius.

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As noted by the IIHS, low beams are weighted more heavily than high beams because they are used more often during driving. During the tests, the Model 3’s low beams exhibited a 15.2% glare during straightaways, preventing the vehicle from earning a “Good” score from the IIHS.

Overall, the vehicle’s scores in the forward collision avoidance tests are encouraging, and the less-than-perfect headlights score is understandable. The IIHS, after all, is the organization that dubbed the Model S’ headlights as “Poor.” The 2018 Chevy Bolt EV, a car with bright headlights, was also given a “Poor” headlights rating.

Tesla’s electric cars are among the safest vehicles on the road. Thanks to their construction from a hybrid of aluminum and ultra-high strength steel and the vehicle’s all-electric design, Teslas have generous crush zones that protect drivers and passengers in the event of a collision. Back in February, this was showcased when a Model 3 crashed while traveling at 60 mph. During the incident, the compact electric car was completely totaled, but its driver was able to walk away with only a swollen ankle.

The Model S and Model X are equally safe as well. The electric SUV, for one, has a perfect 5-star safety rating in every category of the NHTSA. The Model S also performed so well during crash testing back in 2013; it quite literally broke the NHTSA’s crash-testing gear.

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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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